Nonlinear Signal Processing Schemes for Robust Target Detection in Radar.

摘要

In detection, the interference due to clutter or jamming can severely deteriorate the quality of the received signal to the point of concealing the target. The objective of this investigation is to improve detection in high density clutter or jamming by using nonlinear signal processing in conjunction with frequency diverse techniques. In particular, analysis and experimental studies have been concerned with the application of Order Statistic (OS) processing and Split Spectrum Processing (SSP) to detect target signals corrupted by strong clutter. The study of OS processing is also extended to morphological processors to improve signal-to-noise ratio (SNR) and feature extraction for recognition and classification. These studies have applications in radar, ultrasound, sonar, and imaging where clutter is the primary limiting factor.