Reduced-rank automatic target detection and recognition

The linear feature mapping detector (LFMD) developed by Yu and Reed (1995) yields excellent results for detecting a 2-D signal with limited prior information about the signal waveform and the statistical properties of the clutter. However, a direct implementation of the original version of the LFMD criterion in real-time for high resolution data may not be practical at the present time. In this paper, rank-reduction techniques for signal processing, were studied in both theory and practice in order to improve the LFMD for real-time target detection in X-band SAR imagery. It is demonstrated that the proposed reduced-rank detector can lower the computational complexity and decrease the amount of sample support for parameter estimation while providing excellent performance.