Tracking Soviet Submarines During the Cold War

This is an interesting article about a Navy Captain who served in submarines and was involved in tracking one of the first Soviet submarines patrolling off the Atlantic coast of the US. The incident used passive sonar to track a Zulu submarine in May 28, 1959 and was able to direct a patrol plane to photograph the submarine as it surfaced to recharge its batteries. This was an intelligence bonanza for the US.

Acoustic Analysis Software

ATI’s Advanced Topics In Underwater Acoustics course

The course provides an in-depth treatment of the latest results in a selection of core topics of underwater acoustics.Topics include software for analysis of acoustic signals and software to predict underwater propagation. Its aim is to make available to practitioners results in a tutorial form suitable for people who are already informed about the basics of underwater acoustics.

Avisoft is a company that makes a software package designed for bird and other animal researchers. They have a “lite” version available as a download.
Raven is a very capable acquisition and analysis software package from the Cornell group. Free Lite version. It now supports multi-channel recording
Sound Ruler is a free analysis and graphics package designed for animal sound analysis.
Adobe Audition Commericial Sound Analysis software. Expensive.
Sound Emission Analyzer (SEA), from the bioacoustics group at Pavia, Italy. Mainly developed for bioacoustic studies, this software can be used for a wide range of applications requiring real-time display of sounds and vibrations. It allows to view in real-time the spectrographic features of sounds acquired by any sound device compatible with Windows
BatSound software system: Real-time Imaging/Recording. Has evaluation version as download. Listed by Pettersson Elektronik AB: the Swedish Bat Detector company.
Syrinx A Windows program for spectral analysis, editing, and playback of acoustic signals.
Spectrogram 16 Spectrogram version 16 is a freeware dual channel audio spectrum analyzer for Windows which can provide either a scrolling time-frequency display or a spectrum analyzer scope display in real time for any sound source connected to your sound card.
Sonobat: software provides a comprehensive tool for analyzing and comparing high-resolution full-spectrum Sonograms of Bat echolocation calls recorded from full-spectrum and time-expansion bat detectors.
Ishmael Sound acquisition program with automatic call (signal) recognition, file annotation, acoustic localization
XBAT is a sophisticated architecture for sound analysis that allows you to write your own analysis tools in additon to the ones provided in the distribution.

The nomination of Bolden as NASA Administrator, and Lori Garver as Deputy NASA Administrator.

On May 23, 2009, President Barack Obama announced the nomination of Bolden as NASA Administrator, and Lori Garver as Deputy NASA Administrator.

Charles F. Bolden, Jr.
From Wikipedia, the free encyclopedia

NASA, Assistant Deputy Administrator
USNA, Deputy Commandant of Midshipmen
Charles Frank “Charlie” Bolden, Jr.
NASA Astronaut
Born August 19, 1946 (1946-08-19) (age 62)
Columbia, South Carolina

Time in space 28d 08h 37m
Selection 1980 NASA Group
Missions STS-61-C, STS-31, STS-45, STS-60
Mission insignia

Charles Frank “Charlie” Bolden, Jr., (born August 19, 1946 in Columbia, South Carolina, United States) is a retired U.S. Marine Corps major general and a former NASA astronaut. A 1968 graduate of the United States Naval Academy (USNA), he became a Marine Aviator and test pilot. After his service with the National Aeronautics and Space Administration, he became Deputy Commandant of Midshipmen at the USNA. Bolden is the virtual host of the Shuttle Launch Experience attraction at Kennedy Space Center.[1] Bolden also serves on the board of directors for the Military Child Education Coalition.

On May 23, 2009, President Barack Obama announced the nomination of Bolden as NASA Administrator, and Lori Garver as Deputy NASA Administrator. [2] Bolden will take office after confirmation by the United States Senate.[3][4]

Wavelets — “Beyond Comparison”

by D. Lee Fugal

Radar, Sonar, Geology and many other varied fields use Wavelets . They are usually presented in mathematical formulae, but can actually be understood in terms of simple comparisons with your data.

As a background, we first look at the Discrete Fourier Transform (DFT) or it’s faster and more famous cousin, the Fast Fourier Transform (FFT). These transforms can be thought of as a series of comparisons with your data, which we will call for now a “signal” for consistency. Signals that are simple waves of constant frequencies can be processed with ordinary DFT/FFT methods.

Real-world signals, however, often have frequencies that can change over time or have pulses, anomalies, or other “events” at certain specific times. This type of signal can tell us where something is located on the planet, the health of a human heart, the position and velocity of a “blip” on a Radar screen, stock market behavior, or the location of underground oil deposits. For these signals, we will often do better with wavelets. We now demonstrate both the Fourier and Wavelet Transforms of a simple pulse signal.

The Discrete Fourier Transform/Fast Fourier Transform (DFT/FFT)
We start with a point-by-point comparison of the pulse signal (D) with a high frequency wave or “sinusoid” of constant frequency (A) as shown in Figure 1 below. We obtain a single “goodness” value from this comparison (a correlation value) which indicates how much of that particular sinusoid is found in our own pulse signal.
Figure 1
Figure 2 We can observe that the pulse has 5 cycles in 1/4 of a second. This means that it has a frequency of 20 cycles in one second or “20 Hz.” The comparison sinusoid, A, has twice the frequency or 40 Hz. Even in the area where the signal is non-zero (the pulse) the comparison is not very good.

By lowering the frequency of A from 40 to 20 Hz (waveform B) we are effectively “stretching” the sinusoid (A) by 2 so it has only 20 cycles in 1 second. We compare point-by-point again over the 1-second interval with the pulse (D). This next correlation gives us another value indicating how much of this lower frequency sinusoid (now the same frequency as our pulse) is contained in our signal. This time the correlation of the pulse with the comparison sinusoid is very good. The peaks and valleys of B and the pulse portion of D align (or can be easily shifted to align) and thus we have a large correlation value.

Figure 1 shows us one more comparison of our original sinusoid (A) stretched by 4 and trimmed so it has only 10 cycles in the 1 second interval (C). This comparison with D is poor again. We could continue stretching and trimming until the sinusoid becomes a straight line having zero frequency or “DC” (named for the zero frequency of Direct Current) but all these comparisons will be increasingly poor.

Figure 3 An actual DFT (or functionally equivalent FFT) compares many “stretched” sinusoids (“analysis signals”) to the pulse rather than just the three shown here. The best correlation is found when the sinusoid frequency best matches that of the pulse. Figure 2 shows the first part of an actual FFT of our pulse signal D. The locations of our sample comparison sinusoids A, B, and C are indicated. Notice that the FFT tells us correctly that the pulse has primarily a frequency of 20 Hz, but does NOT tell us where the pulse is located in time!

The Continuous Wavelet Transform (CWT)
Wavelets are exciting because they too are comparisons, but instead of cor-relating with various stretched, infinite length unchanging sinusoids, they use smaller or shorter waveforms (“wave–lets”) that can start and stop where we wish.

By stretching and shifting the wavelet numerous times we get numerous correlations. If our signal has some interesting events embedded, we will get the best correlation when the stretched wavelet is similar in frequency to the event and is shifted to line up with it in time. Knowing the amounts of stretching and shifting we can determine both location and frequency.

Figure 3 demonstrates the process. Instead of sinusoids for our comparisons, we will use wavelets. Waveform A shows a Daubechies 20 (Db20) wavelet about 1/8 second long that starts at the beginning (t = 0) and effectively ends well before 1/4 second. The zero values are extended to the full 1 second. The point-by-point comparison with our pulse signal D will be very poor and we will obtain a very small correlation value.

Figure 4 In the previous FFT/DFT discussion we proceeded directly to stretching. In the Wavelet Transforms we shift the wavelet slightly to the right and per-form another comparison with this new waveform to get another correlation value. We continue to shift until the Db20 wavelet is in the position shown in B. We get a little better comparison than A, but still very poor because B and D are different frequencies.

After we have shifted the wavelet all the way to the end of the 1 second time interval we start over with a slightly stretched wavelet at the beginning and repeatedly shift to the right to obtain another full set of these correlation values. C shows the Db20 wavelet stretched to where the frequency is roughly the same as the pulse (D) and shifted to the right until the peaks and valleys line up fairly well. At this particular shifting and stretching we should obtain a very good comparison and large correlation value. Further shifting to the right, however, even at this same stretching will yield increasingly poor correlations.

In the CWT we thus have one correlation value for every shift of every stretched wavelet. To show the data for all these stretches and shifts, we use a 3-D display with the stretching (roughly inverse of frequency) as the vertical axis, the shifting in time as the horizontal axis, and brightness (or color) to indicate the strength of the correlation. Figure 4 shows a Continuous Wavelet Transform (CWT) display for this particular pulse signal (D). Note the strong correlation of the three larger peaks and valleys of the pulse with the Db20 wavelet, the strongest being where all the peaks and valleys best align.

The display shows that the best correlation occurs at the brightest point or at about 3/8 second. This agrees with what we already know about the pulse, D. The display also tells us how much the wavelet had to be stretched (or “scaled”) and this indicates the approximate frequency of the pulse. Thus we know not only the frequency of the pulse, but also the time of it’s occurrence!
Figure 5
We run into this simultaneous time/frequency concept in everyday life. For example, a bar of sheet music may tell the pianist to play a C-chord of three different frequencies at exactly the same time on the first beat of the measure.

For the simple example above we could have just looked at the pulse (D) to see its location and frequency. The next example is more representative of wavelets in the real world.

Figure 5 shows a signal with a very small, very short discontinuity at time 180. The Amplitude vs. Time plot of the signal is shown at the upper left but does not show the tiny “event”. The Magnitude vs. Frequency FFT plot tells what frequencies are present but does not indicate the time associated with those frequencies.

With the wavelet display, however, we can clearly see a vertical line at 180 at low scales when the wavelet has very little stretching, indicating a very high frequency. The CWT display also “finds” the large oscillating wave at the higher scales where the wavelet has been stretched and compares well with the lower frequencies. For this short discontinuity we used a short wavelet (a Db4) for best comparison.

This is an example of why wavelets have been referred to as a “mathematical microscope” for their ability to find interesting events of various lengths and frequencies hidden in data.

Besides acting as a “microscope” to find hidden events in our data, wavelets can also separate the data into various frequency components, as does the FFT. The FFT/DFT is used extensively to remove unwanted noise that is prevalent throughout the entire signal such as a 60 Hz hum. Unlike the FFT, however, the wavelet transform allows us to remove frequency components at specific times in the data. This allows us a powerful capability to throw out the “bad” and keep the “good” part of the data in that frequency range.

These types of transforms are called “Discrete Wavelet Transforms” (DWT). They also have easily computed inverse transforms (IDWT) that allow us to reconstruct the signal after we have identified and removed the noise or superfluous data for denoising or compression.

Undecimated or “Redundant” Discrete Wavelet Transforms (UDWT/RDWT)
In one type of DWT, the Redundant Discrete Wavelet Transform, or RDWT, we first compare (correlate) the Wavelet “filter” with itself. This produces a “Highpass Halfband Filter” or “superfilter.” When we compare or correlate our signal with this superfilter we extract the highest half of the frequencies. For a very simple denoising, we could just discard these high frequencies (for whatever time period we choose) and then reconstruct a denoised signal.

Multi-level RDWT’s allow us to stretch the wavelet, similar to what we did in the CWT, except that it is done by factors of 2 (twice as long, 4 times as long, etc.). This allows us stretched superfilters that can be halfband, quarter-band, eighth-band and so forth.
Figure 6
Conventional (Decimated) Discrete Conventional Transforms (DWT)
We stretched the wavelet in the CWT and the RDWT. In the conventional DWT, we shrink the signal instead and compare it to the unchanged wavelet. We do this by “downsampling by 2.” Every other point in the signal is discarded. We have to deal with “aliasing” (not having enough samples left to represent the high frequency components and thus producing a false signal). We must also be concerned with “shift invariance” (do we throw away the odd or the even values? — it matters!).

If we are careful, we can deal with these concerns. One amazing capability of the filters in the conventional DWT is alias cancellation where the basic wavelet and 3 similar “filters” combine to allow us to reconstruct the original signal perfectly. The stringent requirements on the wavelets to be able to do this is part of why they often look so strange (see Figure 8).

Figure 7 As with the RDWT, we can denoise our signal by discarding portions of the frequency spectrum — as long as we are careful not to throw away vital parts of the alias cancellation capability. Correct and careful downsampling also aids with compression of the signal. Modern JPEG compression uses wavelets. Figure 6 shows JPEG image compression. The image on the right was compressed by a ratio of 157:1 using a Biorthogonal 9/7 set of wavelets.

There are many types of Wavelets. Some come from mathematical expressions. Others are built from basic Wavelet Filters having as little as 2 points. The Db4, Db20, and Biorthogonal wavelets shown earlier are examples of this 2nd type. Figure 7 shows a 768 point approximation of a continuous Db4 wavelet with the 4 filter points (plus 2 zeros) superimposed.

Some wavelets have symmetry (valuable in human vision perception) such as the Biorthogonal Wavelet pairs. Shannon or “Sinc” Wavelets can find events with specific frequencies (these are similar to the Sinc Function filters found in traditional DSP). Haar Wavelets (the shortest) are good for edge detection and reconstructing binary pulses. Coiflets Wavelets are good for data with self-similarities (fractals) such as financial trends. Some of the wavelet families are shown in Figure 8.
Figure 8
You can even create your own wavelets, if needed. However there is “an embarrassment of riches” in the many wavelets that are already out there and ready to go. We have already seen that with their ability to stretch and shift that wavelets are extremely adaptable. You can usually get by very nicely with choosing a less-than-perfect wavelet. The only “wrong” choice is to avoid wavelets due to an abundant selection.

Bio + ad There is much more to discover than can be presented in this short overview. The time spent, however, in learning, understanding and correctly using wavelets for these “non-stationary” signals with anomalies at specific times or changing frequencies (the fascinating, real-world kind!) will be re-paid handsomely.

Article © 2009 Space & Signals Technologies LLC,
All Rights Reserved.

About the author
D. Lee Fugal is Founder and President of Space & Signals Technologies, LLC., a company specializing in the presentation of difficult concepts in an intuitive, understandable manner. He has over 30 years of industry experience in Digital Signal Processing (including Wavelets) and Satellite Communications. He has been a full-time consultant on numerous assignments since 1991. Additionally, Mr. Fugal offers short courses for Jim Jenkins at ATI (

Leading Sonar Experts Gather for New Scientific Training Course

Six sonar experts will gather in Newport, Rhode Island in June 1-4  to teach an innovative new course, Advanced Topics in Underwater Acoustics. This four-day course summarizes some of the “leading-edge” topics in underwater acoustics, providing an in-depth treatment of current topics of interest.  Focus areas are sound propagation in deep and shallow water, ambient noise, sonar arrays, sonar signal processing, active sonar technology, and marine mammals mitigation.                                                         
The instructors, who are well-known authorities in the field, each have 30 to 40 years of experience in underwater acoustics. Instructors include William Carey, Allan Pierce, Richard Evans, Edmund J. Sullivan, Bill Ellison and Peter G. Cable. Dr. William Carey and Dr. Allan D. Pierce are both professors of Mechanical Engineering at Boston University, and Associate Editor and Editor-in-Chief, respectively, of the Journal of the Acoustical Society of America. Dr. Evans has conducted workshops that led to the standardization of Navy models for underwater sound propagation. Dr. Edmund J. Sullivan was a leading researcher at the Naval Undersea Warfare Center  and head of the Signal Processing Group at the SACLANT Undersea Research Centre. Dr. Sullivan has published numerous journal articles, 2 encyclopedia articles, 6 book chapters, and government reports covering the subjects of Underwater Acoustics, Signal Processing, and Electromagnetics.  Peter G. Cable was a Principal Scientist at the Naval Undersea Warfare Center  and BBN Technologies where he was engaged in acoustic signal processing and sonar system studies.
The course will be close to one of the Navy’s leading research centers, the Naval Undersea Warfare Center  in Newport, RI,  so that NUWC employees can take advantage of the training, while minimizing travel costs. 

ATI the leader in scientific and technical training since 1984, will be hosting the course. To register, contact, Applied Technology Institute at (888) 501-2100 or register online at

Space & Satellite Technical Training Courses


ATI June Space & Satellite Courses


Space Professional,

Did you know that ATI has been a leader in space and satellite training since 1984? ATI technical training helps you increase your value to your employer and gain the knowledge you need to get the edge over the competition. But don’t take our word for it, check out the links below to sample some of the pages direct from the instructor’s notes, before you attend a course.

Don’t see the space & satellite training topic your looking for below? Tell Us About It. We want to develop and schedule the courses you need, when and where you need them.

In This Issue: June Space & Satellite Courses

Solid Rocket Motor Design & Applications Jun 2-4 (Cocoa Beach, FL)

Antenna Fundamentals—One Day Overview June 8 (Laurel, MD)

Satellite Communications – An Essential Introduction June 8-10 (Beltsville, MD)

GPS Technology – Solutions for Earth & Space June 8-11 (Columbia, MD)

Spacecraft Quality Assurance, Integration & Testing June 10-11 (Los Angeles, CA)

Satellite Communication Systems Engineering Jun 15-17 (Beltsville, MD)

Thermal & Fluid Systems Modeling June 16-18 (Beltsville, MD)

Space Systems Fundamentals June 22-25 (Beltsville, MD)

Schedule of All ATI Courses Through July 2010

Solid Rocket Motor Design & Applications Jun 2-4 (Cocoa Beach, FL) Register

This three-day course provides a detailed look at the design of solid rocket motors (SRMs), a general understanding of solid propellant motor and component technologies, design drivers, critical manufacturing process parameters, sensitivity of system performance requirements on SRM design, reliability, and cost; and transportation and handling, and integration into launch vehicles and missiles.

Antenna Fundamentals—One Day Overview June 8 (Laurel, MD) Register
This one day class is geared as an introduction into basic antenna and antenna array concepts. The material is basic and should be familiar to an engineer working on any system involving transmitted electromagnetic waves (e.g., radar, satellite communication, terrestrial communications, etc.).

Satellite Communications – An Essential Introduction June 8-10 (Beltsville, MD) Register
This introductory course has recently been expanded to three days by popular demand. It has been taught to thousands of industry professionals for more than two decades, to rave reviews. The course is intended primarily for non-technical people who must understand the entire field of commercial satellite communications, and who must understand and communicate with engineers and other technical personnel. Check out the PDF Course Sampler!

GPS Technology – Solutions for Earth & Space June 8-11 (Columbia, MD) Register
Nearly every military vehicle and every satellite that flies into space uses the GPS to fix its position. In this popular 4-day short course, GPS expert Tom Logsdon will describe in detail how those precise radionavigation systems work and review the many practical benefits they provide to military and civilian users in space and around the globe. Each student will receive a new personal GPS Navigator with a multi-channel capability.  Check out the PDF Course Sampler!

Spacecraft Quality Assurance, Integration & Testing June 10-11 (Los Angeles, CA) Register
Quality assurance, reliability, and testing are critical elements in low-cost space missions. The selection of lower cost parts and the most effective use of redundancy require careful tradeoff analysis when designing new space missions.

Satellite Communication Systems Engineering Jun 15-17 (Beltsville, MD) Register
This three-day course is designed for satellite communications engineers, spacecraft engineers, and managers who want to obtain an understanding of the “big picture” of satellite communications.  Check out the PDF Course Sampler!

Thermal & Fluid Systems Modeling June 16-18 (Beltsville, MD) Register
This three-day course is for engineers, scientists, and others interested in developing custom thermal and fluid system models. Principles and practices are established for creating integrated models using Excel and its built-in programming environment, Visual Basic for Applications (VBA). Real-world techniques and tips not found in any other course, book, or other resource are revealed. Step-bystep implementation, instructor-led interactive examples, and integrated participant exercises solidify the concepts introduced. Application examples are demonstrated from the instructor’s experience in unmanned underwater vehicles, LEO spacecraft, cryogenic propulsion systems, aerospace & military power systems, avionics thermal management, and other projects. Check out the PDF Course Sampler!

Space Systems Fundamentals June 22-25 (Beltsville, MD)
This four-day course provides an overview of the fundamentals of concepts and technologies of modern spacecraft systems design. Satellite system and mission design is an essentially interdisciplinary sport that combines engineering, science, and external phenomena. We will concentrate on scientific and engineering foundations of spacecraft systems and interactions among various subsystems. Check out the PDF Course Sampler!

Those who plan ahead, get ahead. ATI Course Schedule Through July 2010 is Available Now!

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End of Primary Mission of NASA’s Spitzer Space Telescope


WASHINGTON — The primary mission of NASA’s Spitzer Space Telescope is about to end after more than five and a half years of probing the cosmos with its keen infrared eye. Within about a week of May 12, the telescope is expected to run out of the liquid helium needed to chill some of its instruments to operating temperatures.

The end of the coolant will begin a new era for Spitzer. The telescope will start its “warm” mission with two channels of one instrument still working at full capacity. Some of the science explored by a warm Spitzer will be the same, and some will be entirely new.

“We like to think of Spitzer as being reborn,” said Robert Wilson, Spitzer project manager at NASA’s Jet Propulsion Laboratory, Pasadena, Calif. “Spitzer led an amazing life, performing above and beyond its call of duty. Its primary mission might be over, but it will tackle new scientific pursuits, and more breakthroughs are sure to come.”

Spitzer is the last of NASA’s Great Observatories, a suite of telescopes designed to see the visible and invisible colors of the universe. The suite also includes NASA’s Hubble and Chandra space telescopes. Spitzer has explored, with unprecedented sensitivity, the infrared side of the cosmos, where dark, dusty and distant objects hide.

For a telescope to detect infrared light — essentially heat — from cool cosmic objects, it must have very little heat of its own. During the past five years, liquid helium has run through Spitzer’s “veins,”
keeping its three instruments chilled to -456 degrees Fahrenheit
(-271 Celsius), or less than 3 degrees above absolute zero, the coldest temperature theoretically attainable. The cryogen was projected to last as little as two and a half years, but Spitzer’s efficient design and careful operations enabled it to last more than five and a half years.

Spitzer’s new “warm” temperature is still quite chilly at -404 degrees Fahrenheit (-242 Celsius), much colder than a winter day in Antarctica when temperatures sometimes reach -75 degrees Fahrenheit
(-59 Celsius). This temperature rise means two of Spitzer’s instruments — its longer wavelength multiband imaging photometer and its infrared spectrograph — will no longer be cold enough to detect cool objects in space.

You can learn more about Space Mission Design and Analysis at ATI Space Mission Design and Analysis

Workers For The U.S. Satellite Industry

I thought that this was interesting:

by Marion Blakey, President and CEO
Aerospace Industries Association

Photo 1
The U.S. satellite industry has a great deal to worry about these days ­— lost opportunities due to outdated export control rules, global competition from more and more countries every day, the various technical challenges of providing new services — but there’s another issue out there affecting the entire aerospace industry that demands attention in the satellite sector — a looming workforce crisis.

The U.S. aerospace industry workforce is currently dominated by aging workers — baby boomers who were enthralled with space travel and answered our nation’s call to win the Space Race and put Americans on the moon. Today, nearly 60 percent of aerospace workers were age 45 or older in 2007, with retirement eligibility either imminent or already reached.

There is a growing need to replace these experienced workers, especially the engineer talent pool, with capable new talent to ensure that the United States continues to be the world’s leader in satellite technology and other important aerospace applications. But there are not sufficient numbers of young people studying Science, Technology, Engineering and Mathematics — the STEM disciplines — that would put them on the path to enter aerospace careers and replace our retiring workers.

There is very strong competition for our nation’s brightest math- and science-oriented students. Aerospace companies are forced to share talent with a variety of high-tech industries that were not even around when baby boomers were selecting their careers. For example, more than half of those who graduate with bachelor’s degrees in engineering go into totally unrelated fields for employment. And the numbers earning advanced degrees in STEM subject areas lag other fields by huge margins.

More at

Even a bad day of fishing beats a good day at the office…ATIcourses has a great day fishing on the Chesapeake.

Jim Jenkins and Ed McCarthy (and families) from went fishing on April 28, 2009. We left from Chesapeake Beach, Maryland with Captain Russel on the Carol G. The Captain used high frequency sonar to locate the best fishing holes and to alert when fish past near the boat. He also used a high-tech planar board ( or out-rigger sled) to fish more lines to both sides of the boat.

It was a clear, sunny day. The fishing was great. Six rockfish (also known as striped bass) were caught in about 6 hours. The biggest were 47 and 37 inches. Both are really big fish. The 47 incher approaches the state record holder ( 52 inches in length, but more weight). The fish was shared by all and was mighty tasty.

During the trophy season that runs through May 15, anglers may catch one striped bass per day measuring over 28 inches in the lower Potomac River and throughout much of the Chesapeake Bay.

The striped bass, named the official fish of the State of Maryland in 1965, gets its name from the seven or eight dark stripes that run from head to tail. The fish has an olive green back, fading to light silver on its sides, with a white underside. Known for its size and ability to put up a good fight, the striped bass is considered by many to be the premier sport fish on the Bay. It is also mighty tasty.

UAV Helped With Pirate Incident

  • ScanEagle’s Pirate Patrol Proves Potency Of UAV
    From The Enterprise (White Salmon, Washington), written by Jesse Burkhardt, comes the story of how local company Insitu’s “ScanEagle” drone aircraft contributed to the successful military operation on April 12th that freed American ship captain Richard Phillips who was being held hostage by Somali pirates and then enduring the ensuring four-day standoff. Full Story
  • The Bainbridge employed the  ScanEagle UAV technology to provide around the clock observation of the lifeboat.