Radar Space-Time Adaptive Processing

Radar Space-Time Adaptive Processing

Space-time adaptive processing (STAP) is a signal processing technique that was originally developed for detecting slow-moving targets using airborne radars. The general principle of STAP is as follows. The radar transmits a train of M coherent pulses. The echoes from potential targets (and clutter) are collected at each of the N elements of an antenna array. Separate receiver chains are attach...

Augmenting Synthetic Aperture Radar with Space Time Adaptive Processing

Wide-area persistent radar video o↵ers the ability to track moving targets. A shortcoming of the current technology is an inability to maintain track when Doppler shift places moving target returns co-located with strong clutter. Further, the high down-link data rate required for wide-area imaging presents a stringent system bottleneck. We present a multi-channel approach to augment the synthet...

Design of Optimized Codes for Radar Space-Time Adaptive Processing

In this paper, we deal with the problem of constrained code optimization for radar Space-Time Adaptive Processing (STAP) in the presence of colored Gaussian disturbance. At the design stage, we devise a code design algorithm complying with the following optimality criterion: maximization of the detection performance under a control on the regions of achievable values for the temporal and spatia...

Space-time adaptive processing

Adaptive Space-Time Beamforming in Radar Systems

1.1 Introduction Space-time adaptive processing (STAP) techniques [Klemm (2002)],[Melvin (2004)] have been thoroughly investigated in the last decades as a key enabling technology for advanced airborne radar applications following the seminal work by Brennan and Reed [Brennan and Reed (1973)]. A great deal of attention has been given to STAP algorithms and different strategies to design space-t...