Analysis of the small sample size performance of fast fully adaptive STAP techniques for MTI radar


  1. Gierull, C.H.
Corporate Authors
Defence Research Establishment Ottawa, Ottawa ONT (CAN)
In ground surveillance from an airborne or space-based radar it is desirable to be able to detect small moving targets, such as tanks or wheeled vehicles, within severe ground clutter. For operational moving target indication (MTI) systems the clutter filter coefficients have to be updated frequently due to rapidly changing interference environment. This report examines the small sample size performance of different fast fully adaptive space-time processors (STAP) and compares it the optimum-detector performance. These recently proposed techniques, named Matrix Transformation based Projection (MTP) and Lean Matrix Inversion (LMI), were originally developed to provide fast man-made jammer suppression in large surface phased array radars with many elements. For this application they have been proven to operate with near-optimum performance, yet with a computational expense drastically reduced from that of the optimum detector in most practical cases. The investigation herein focuses on the performance achieved when only a few data samples are available to adapt (update) the clutter filter coefficient. In this report, the techniques are described and a number of simulations carried out. TRUNCATED

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Clutter cancellation;STAP (Space Time Adaptive Processing);LMI (Lean Matrix Inversion);MTP (Matrix Transformation based Projection)
Report Number
DREO-TR-2001-079 — Technical Report
Date of publication
01 Oct 2001
Number of Pages
Hardcopy;Document Image stored on Optical Disk

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