Evaluation of a Registration-Based Range- Dependence Compensation Method for a Bistatic STAP Radar Using Simulated, Random Snapshots
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چکیده
We address the problem of detecting slowmoving targets using space-time adaptive processing (STAP). The construction of the optimum weights at each range implies the estimation of the clutter covariance matrix. This is typically done by straight averaging of snapshots at neighboring ranges. However, in most configurations, the snapshots’ statistics are range-dependent. Straight averaging thus results in poor performance. The proposed compensation method is designed to work on real-life snapshots. The method has been successfully tested on simulated, stochastic snapshots. An evaluation of performance is presented.
منابع مشابه
Principle and Evaluation of a Registration-based Range-dependence Compensation Method for Stap in Case of Arbitrary Antenna Patterns and Simulated Snapshots
We propose a new method for estimating the clutter power spectrum locus in arbitrary STAP radar configurations, i.e., both monostatic and bistatic. This locus is a surface in the 3D space of spatial frequency, Doppler frequency and range. Based on the knowledge of this locus, one can perform a range dependence compensation of the snapshots to obtain an estimate of the clutter covariance matrix....
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تاریخ انتشار 2004