Title :
Radar clutter mitigation via space-time wavefront adaptive sensing
Author :
Bilik, Igal ; Kazanci, Oguz ; Krolik, Jeffrey
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC
fDate :
March 31 2008-April 4 2008
Abstract :
Space-time adaptive processing (STAP) in complex radar propagation and inhomogeneous clutter environments is often precluded because neither the target wavefront is sufficiently known nor is signal-free training data available. In recent work, wavefront adaptive sensing (WAS) was proposed to overcome these challenges by combining minimum variance (MV) adaptive processing and blind source separation (BSS) for distributed sources. In this paper, WAS is compared with conventional BSS and MV processing both analytically and via simulation. In an over- the-horizon radar (OTHR) spread-Doppler clutter environment, WAS is shown to avoid MV signal cancellation at high SNR and poor BSS threshold performance at low SNR.
Keywords :
Doppler radar; radar clutter; space-time adaptive processing; BSS threshold performance; MV signal cancellation; SNR; WAS; over the horizon radar; radar clutter mitigation; space time wavefront adaptive sensing; spread Doppler clutter environment; Adaptive signal processing; Blind source separation; Covariance matrix; Frequency; Hafnium; Radar clutter; Radar signal processing; Signal processing; Source separation; Training data; Adaptive signal processing; Array signal processing; HF radar; Ionospheric electromagnetic propagation; Radar clutter;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518178