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This one-day course is a supplement to the basic course Radar 101, and probes deliberately deeper into selected topics, notably in signal processing to achieve (generally) finer and finer resolution (in several dimensions, imaging included) and in antennas wherein the versatility of the phased array has made such an impact. Finally, advances in radar’s own data processing – auto-detection, more refined association processes, and improved auto-tracking – and system wide fusion processes are briefly discussed. This course is recommended for people with an electrical engineering or equivalent science background.
What You Will Learn:
- Increasing radar performance requirements and corresponding key advances in radar technology and architecture during the past two decades
- Modern digital signal processing techniques including adaptive antenna sidelobes cancellation and STAP, adaptive thresholding, pulse compression, pulse editing, and Doppler processing
- Electronic Steered Arrays (ESA) principles and advantages
- Active Electronic Steered Arrays (AESA) principles and advantages
- Modern advances in waveforms
- Data processing functions including radar tracking
- Introduction: Radar’s development, the metamorphosis of the last few decades: analog and digital technology evolution, theory and algorithms, increased digitization: multi-functionality, adaptivity to the environment, higher detection sensitivity, higher resolution, increased performance in clutter.
- Modern signal processing: Clutter and the Doppler principle. MTI and Pulse Doppler filtering. Adaptive cancellation and STAP. Pulse editing. Pulse Compression processing. Adaptive thresholding and detection. Ambiguity resolution. Measurement and reporting.
- Electronic steering arrays (ESA): principles of operation. Advantages and cost elements. Behavior with scan angle. Phase shifters, true time delays (TTL) and array bandwidth. Other issues.
- Solid state active array (SSAA) antennas (AESA): Architecture. Technology. Motivation. Advantages. Increased array digitization and compatibility with adaptive pattern applications. Need for in-place auto-calibration and compensation.
- Modern advances in waveforms: Pulse compression principles. Performance measures. Some legacy codes. State-of-the-art optimal codes. Spectral compliance. Temporal controls. Orthogonal codes. Multiple-input Multiple-output (MIMO) radar.
- Data processing functions: The conventional functions of report to track correlation, track initiation, update, and maintenance. The new added responsibilities of managing a multi-function array: prioritization, timing, resource management. The Multiple Hypothesis tracker.
- Concluding Discussion: Today’s concern of mission and theatre uncertainties. Increasing requirements at constrained size, weight, and cost. Needs for growth potential. System of systems with data fusion and multiple communication links.
Dr. Menachem Levitas has forty-plus years of experience in science and engineering, thirty six of which have consisted of direct radar and weapon systems analysis, design, and development. Throughout his tenure he has provided technical support for many shipboard and airborne radar programs in many different areas including system concept definition, electronic protection, active arrays, signal and data processing, requirement analyses, and radar phenomenology. He is a recipient of the AEGIS Excellence Award for the development of a novel radar cross-band calibration technique in support of wide-band operations for high range resolution. He has developed innovative techniques in many areas e.g., active array self-calibration and failure-compensation, array multibeam-forming, electronic protection, synthetic wide-band, knowledge-based adaptive processing, waveforms and waveform processing, and high fidelity, real-time, littoral propagation modeling. He has supported many AESA programs including the Air Force’s Ultra Reliable Radar (URR), the Atmospheric Surveillance Technology (AST), the USMC’s Ground/Air Task Oriented Radar (G/ATOR), the 3D Long Range Expeditionary Radar (3DLRR), and others. Prior to his retirement in 2013 he had been the chief scientist of Technology Service Corporation’s Washington Operations.
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