Tag Archives: Radar Design

ATI Releases New Radar Systems Analysis & Design Using MATLAB Technical Training Short Course Sampler

On March 15, 2011 ATI released new Radar Systems Analysis & Design Using MATLAB technical training short course sampler.

    This course provides a comprehensive description of radar systems analyses and design. A design case study is introduced and as the material coverage progresses throughout the course, and new theory is presented, requirements for this design case study are changed and / or updated, and the design level of complexity is also increased. This design process is supported with a comprehensive set of MATLAB-7 code developed for this purpose. By the end, a comprehensive design case study is accomplished. This will serve as a valuable tool to radar engineers in helping them understand radar systems design process. Each student will receive the instructor’s textbook MATLAB Simulations for Radar Systems Design as well as course notes.
    The course is scheduled to be presented on May 2-5, 2011 in Columbia, MD.  Register here.

      Sign Up For ATI Courses eNewsletter

      RadarCalc Tutorial and Manual Posted On ATI Web Site

      Check out this SAR radar design information

      http://www.aticourses.com/manual/radarcalc_2010_manual.htm

      RadarCalc 2010 is a space and aircraft-based SAR computer aided design tool developed by User Systems Enterprises, Incorporated for Windows-based personal computers. It is built upon the success of the earlier RADARCALC software from User Systems, Inc., but it is significantly updated both from a technical and user-friendliness standpoint. RadarCalc 2010 was developed for top-level study of mission architectures, SAR radar system feasibility, design and performance trade-off studies and applications verification. Its menu driven structure allows any user to interactively perform SAR remote sensing design calculations. RadarCalc 2010 calculates all of the appropriate values needed for a synthetic radar aperture design, including ambiguity limits. It is extremely useful for analysis of strip (squint) mapping SARs, scanSAR, and spotlight (SPOT)sar. RadarCalc 2010 provides for plotting a variety of the most needed graphs and charts that easily present trade analysis studies. An online help system as well as diagrams and tables to aid the user’s design are now available. Unit systems switching at any design point can be performed, including on the summary sheet and system evaluation graphs. The design process consists of worksheets that involve:

      * Ambiguity Parameters
      * Mission and Scene-Target Parameters
      * Radar Parameters
      * System Noise Temperature
      * Receiver Noise Figure Tables
      * Summary Tables
      * Graphing Routines

      Each worksheet allow the user to modify parameters to their own mission specification These include: Platform altitude, Radar wavelength, Swathwidth, Incidence Angle, Azimuth resolution, PRF, Squint angle, Range resolution Dynamic range (scene), Pulse Compression Ratio, Antenna efficiency, Loss Budget elements.

      Derived quantities include:
      Orbit circumference, Revisit latitude circ, Orbital period, Orbit rate, Orbital velocity, Ground track velocity, Look angle, Target range, Ground range resolution, Minimum antenna area, Actual antenna area, Actual antenna dimensions, synthetic aperture length, Range to near/far edge of swath edge, Distance from nadir point to near/ far edge of swath, Unfocused azimuth resolution, Range / Azimuth time bandwidth products, Dwell time, and more…..

      RadarCalc 2010’s Mission Analysis feature enables the user to determine optimum orbits for a system given the basic inputs of orbit inclination and altitude, sensor viewing geometry and coverage requirements. The space platform calculations are based upon circular orbits.

      RadarCalc 2010’s Radar Analysis feature allows the user to determine important radar design parameters, such as antenna noise temperature, system losses, transmit and receive module characteristics based on the latest industry values, and more. Swerling statistics are used to determine signal-to-noise requirements based on probability of detection and false alarm inputs.