Overview

In Chapter 6 some transforms to reduce the signal vector space in the spatial dimension have been analysed. In this chapter we investigate the use of digital filters for space-time clutter suppression. In this way we try to reduce the signal vector space in the temporal dimension. Temporal (i.e., pulse-to-pulse) digital filters have been used for clutter rejection in ground-based radar systems. For example, the usual two-pulse or three-pulse clutter cancellers are typical temporal anti-clutter pre-filters.

An adaptive clutter filter based on the prediction error filter has been described by B HRING and KLEMM [64]. It has been applied to a surveillance radar with rotating antenna.

BARBAROSSA and PICARDI [30] discuss the use of predictive techniques for adaptive clutter rejection. The superposition of two types of clutter is addressed. The LUD algorithm suggested by MAO et al. [336] allows one to compute the coefficients of the prediction error filter more efficiently than by using the BURG algorithm [67, 68] GOLDSTEIN et al. [164, 163, 165, 166] propose a multistage STAP Wiener filter with CFAR capability. Simulations (GOLDSTEIN et. al. [166], GUERCI et al. [187]) and experiments with MCARM data (GUERCI et al. [185]) have demonstrated outstanding clutter rejection performance at high computational efficiency, HIMED and MICHELS [210] achieved good suppression of hot ^[1] and cold clutter by using 3D STAP (space-time-TIME) based on a multistage Wiener filter. JIANG et al. [222] and LI et al. [306] analyse the 'VAR filter'...