Applications of Space-Time Adaptive Processing

Alfonso Farina and Luca Timmoneri
This chapter describes methodologies for online processing of received radar data by a set of N antennas and M pulse repetition intervals (PRIs) for the calculation of space-time adaptive (STAP) filter output. The numerically robust and computationally efficient QR-decomposition (QRD) is used to derive the so-called MVDR (minimum variance distortionless response) and lattice algorithms; the novel inverse QRD (IQRD) is also applied to the MVDR problem. These algorithms are represented as systolic computational flow graphs. The MVDR is able to produce more than one adapted beams focused along different angular directions and Doppler frequencies in the radar surveillance volume. The lattice algorithm offers a computational saving; in fact, its computational burden is O( N 2 M) in lieu of O( N 2 M 2). An analysis of the numerical robustness of the STAP computational schemes is presented when the CORDIC (coordinate rotation digital computer) algorithm is used to compute the QRD and the IQRD. Benchmarks on general purpose parallel computers and on a VLSI (very large scale integration) CORDIC board are also presented.
The detection of low flying aircraft and/or surface moving targets, and the standoff surveillance of areas of interest require a radar on an elevated platform like an aircraft. The AEW (airborne early warning) radars pose a number of interesting technical problems especially in the signal processing area. The issue is not...