2004 IEEE Radar Conference

Innovative Radar Technologies - Expanding System Capabilities

 
 
 April 26-29, 2004 Wyndham Philadelphia at Franklin Plaza Philadelphia, Pennsylvania
 
 
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Tutorial 1: Monday Evening Tutorials

Mon, 26 April 2004, 6:00 PM - 10:00 PM


1.1 Introduction to Radar
1.2 Space-Time Adaptive Processing for AMTI and GMTI Radar

1.1 Introduction to Radar
By: Mr. Michael R. Ducoff
Lockheed Martin MS2

Fundamental radar system concepts will be developed in this four-hour tutorial session. Each topic will be illustrated using a worked example. The selection of topics and the analysis approach are based on the first two chapters of David K. Barton, Modern Radar System Analysis, Artech House, Inc., Norwood, MA, 1988. Topics to be discussed will include: radar principles; radar functions; radar frequency bands; pulse radar operation; radar block diagrams; radar measurements; one-way transmission equation; radar range equation; internal and external noise sources; system noise temperature definition and evaluation; matched filter properties; signal-to-noise ratio definition and interpretation; signal-to-noise ratio equations for pulsed radars; pattern-propagation factor; loss factors for the radar range equation; radar range equation example; solution for maximum detection range; detection and false alarm probabilities; detectability factor; maximum detection range evaluation using the Blake chart; maximum detection range example; and references for further study.

This Tutorial has a recommended book:

?Modern Radar Systems Analysis?, David K. Barton, Artech House, 1988.

You may order this book at a 15% discount and free shipping by contacting Dudley Kay at Scitech Publishing, 919-866-1501, or email dkay@scitechpub.com. Please order the book no later than April 15, 2004 in order to receive it before leaving for the conference (before April 23rd).

1.2 Space-Time Adaptive Processing for AMTI and GMTI Radar
By: Dr. James Ward
MIT Lincoln Labaratory
and: Dr. Stephen Kogon
MIT Lincoln Laboratory

Space-Time-Adaptive Processing (STAP) is becoming an integral part of modern airborne and space-based radars for performing Airborne Moving Target Indicator (AMTI) and Ground Moving Target Indicator (GMTI) functions. STAP is an application of optimum and adaptive array processing algorithms to the radar problem of target detection in ground clutter and interference with pulse-Doppler waveforms and multi-channel antennas and receivers. Coupled space-time processing is required to optimally mitigate the Doppler spreading of ground clutter induced by radar platform motion. This tutorial will begin with the fundamentals of adaptive beamforming and radar pulse-Doppler processing, move through principles and application of STAP, and conclude with a brief overview of some advanced current research topics. Optimum STAP and a taxonomy of practical STAP architectures and algorithms will be described in depth. Key aspects of a practical STAP algorithm include the methods for estimating the background interference, proper subspace selection, and the technique for computing STAP filter weights. Algorithms for providing rapid convergence, robustness to clutter inhomogeneities, robustness to steering vector calibration errors, and reduced computational complexity will be described. Displaced Phase Center Antenna (DPCA) processing will be presented as a nonadaptive space-time processor that gives insight into STAP performance. The effect of STAP on subsequent CFAR detection and target parameter estimation algorithms will be discussed briefly. Simulation and experimental data will be used to illustrate STAP concepts and algorithmic issues.

 
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