Title :
Reduced-rank STAP for high PRF radar
Author :
Ayoub, T.F. ; Haimovich, A.M. ; Pugh, M.L.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
7/1/1999 12:00:00 AM
Abstract :
Due to the range ambiguity of high pulse-repetition frequency (HPRF) radars, echoes from far-range fold over near-range returns. This effect may cause low Doppler targets to compete with near-range strong clutter. Another consequence of the range ambiguity is that the sample support for estimating the array covariance matrix is reduced, leading to degraded performance. It is shown that space-time adaptive processing (STAP) techniques are required to reject the clutter in HPRF radar. Four STAP methods are studied in the context of the HPRF radar problem: low rank approximation sample matrix inversion (SMI), diagonally loaded SMI, eigencanceler, and element-space post-Doppler. These three methods are evaluated in typical HPRF radar scenarios and for various training conditions, including when the target is present in the training data
Keywords :
Doppler radar; adaptive radar; airborne radar; covariance matrices; matrix inversion; radar clutter; radar signal processing; space-time adaptive processing; J-hook clutter; airborne radar; array covariance matrix; clutter rejection; diagonally loaded sample matrix inversion; echoes; eigencanceler; element-space post-Doppler; far-range returns; high PRF radar; low Doppler targets; low rank approximation sample matrix inversion; near-range returns; near-range strong clutter; range ambiguity; reduced-rank STAP; robustness; training conditions; Airborne radar; Covariance matrix; Doppler radar; Frequency; Geometry; Laboratories; Radar applications; Radar clutter; Radar detection; Spaceborne radar;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
