Reduced-Rank STAR for high PRF radar

Document Type

Article

Publication Date

12-1-1999

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. © 1999 IEEE.

Identifier

0033155642 (Scopus)

Publication Title

IEEE Transactions on Aerospace and Electronic Systems

External Full Text Location

https://doi.org/10.1109/7.784065

ISSN

00189251

First Page

953

Last Page

962

Issue

3

Volume

35

Grant

F30602-94-1-0012

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