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ATI's Adaptive Multichannel/Multidomain Processing course.
Today's mission, threat, and environment impose increased demands on the processing capabilities of sonar and radar systems. The necessary increase in the sensitivity of the detection and estimation, and the feasibility of the automatic processing can not be met by conventional processing. Performance of a conventional system is primarily limited by the masking, bias, and redundancy caused by multiple signal/interference and complex backgrounds. Satisfactory operation requires syntheses of optimal/adaptive preprocessing functions that "clean" the data prior to conventional processing functions.
This course presents the theory and applications of optimal/adaptive space and time/frequency processing techniques for , filtering, and for general space-time processing associated with detection and estimation problems. The state-of-the-art adaptive techniques presented are applicable to a wide range of signal processing problems in sonar and radar applications. Practical results will be stressed. Primary emphasis will be on comparative design and performance evaluation of various adaptive processing techniques, including state-of-the-art high/super resolution techniques.
The course is designed for engineers who desire a broad conceptual foundation in optimal adaptive processing techniques and develops skills and abilities in the design and analysis of systems. The course is presented at an intermediate level with some basic knowledge in matrix notation recommended. A comprehensive set of lecture notes is provided to all attendees.
Dr. Ayhan M. Vural is a leading expert in adaptive beamforming and optimal processing. Previously he was with the Ocean and Radar Systems Department of General Electric Company where he has worked as a senior consulting engineer in the Advanced Sonar concepts Group. Presently he is the president of A.M. Vural Consulting Inc., involved in diverse aerospace research related projects. Dr. Vural's prime responsibility had been to lead the research exploratory development effort in the space-time signal processing area. He is internationally recognized for his original research, concept formulation, and design and evaluation of optimal/adaptive signal processing techniques. He was responsible for the next generation adaptive surveillance systems and high resolution techniques for both tactical/surveillance and active/passive advanced sonar systems.
Dr. Vural received the Ph.D in EE from Syracuse University. He has been teaching courses in the areas of space-time signal processing, underwater acoustics, and adaptive processing since 1968. He has authored numerous publications. Dr. Vural presents practical results and applications based on his more than 25 years of hands-on research in state-of-the-art applications.
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What you will learn:
- System application oriented critical analysis of the state-of-the-art adaptive signal processing techniques.
- Discussion of very powerful and not yet explored optimal process-ing concepts.
- Design of adaptive processors leading to optimal tradeoff between dimensionality and signal pro-cessing.
- Step-by-step guidelines for selecting and imple-menting adaptive processing algorithms.
- Arrays and Sensor Level Spatial Processing — Space/frequency response analysis of sensor arrays based on a rigorous classical radiation theory. Pattern beamwidth and directivity factor of acoustic arrays. Non-uniformly spaced array analysis. Broadband array response analysis.
- Conventional Beamforming — Narrowband/Broadband and time/frequency domain beamforming. Frequency-wave number processing.
- Adaptive Spatial Processing: Theory — Side lobe cancellation techniques. Optimum array processing theory, time-frequency domain realizations, constrained and unconstrained adaptation. Beamspace adaptation.
- Adaptive Algorithm Design — Search algorithms, matrix solution algorithms, real-time implementation concepts for unconstrained, soft constrained and hard constrained algorithms. Comparison of alternate designs.
- Comparative Performance Evaluation — Signal maintenance, interference cancellation, signal-to-background performance, beam patterns and bearing response patterns. Performance comparison under perturbed conditions such as wavefront distortions, correlated signal and noise fields, multipath signals, system phase, and amplitude errors.
- Spatial High Resolution Processing: Techniques — Critical review of minimum variance, maximum entropy, linear predictive and eigenvector techniques. Illustrative performance comparisons, advantages and pitfalls in applications.
- Advanced Topics in Adaptive Processing — Simultaneous space-frequency adaptive processing, spectral high resolution processing, adaptive range and bearing estimation, adaptive focusing. Next generation unexplored techniques.
- System Applications — Implications of adaptive processing in system design, requirement analysis and performance prediction. Directions of future systems.
Tuition for this four-day course is $1495 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to ATI@ATIcourses.com.