Time-varying complex spectral analysis via recursive APES

作     者：Wu, R Liu, ZS Li, J 

作者机构：Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA 

出 版 物：《IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION》 (IEE Proc Radar Sonar Navig)

年 卷 期：1998年第145卷第6期

页      面：354-360页

核心收录：

主　　题：adaptive filters recursive APES time-varying complex spectral analysis ISAR Radar theory matrix operations phase estimation recursive filters feature extraction fast Fourier transforms FIR filters Filtering methods in signal processing matrix algebra Radar equipment, systems and applications targets spectral analysis inverse synthetic aperture radar image recognition stationary signals time-varying filters performance Image recognition radar imaging Other topics in statistics synthetic aperture radar complex spectral estimation FFT inverse problems adaptive FIR filtering complex manoeuvring motion amplitude and phase estimation amplitude estimation 

摘      要：APES (Amplitude and Phase EStimation) is an adaptive FIR filtering approach introduced recently for complex spectral estimation. For stationary signals, APES can yield more accurate spectral estimates than the widely used Capon and FFT estimators. The authors present a recursive APES algorithm for time-varying spectral analysis, which is computationaly efficient and only involves FFT and simple matrix operations. The recursive APES algorithm is applied to ISAR (inverse synthetic aperture radar) imaging and feature extraction of targets with complex manoeuvring motion. Both numerical and experimental examples are provided to demonstrate the performance of the proposed method.