Multiple Target Detection using ΣΔ-STAP in the Presence of Airborne Clutter

Abstract

Spatio-Temporal Adaptive Processing (STAP) technique has been widely applied to mitigate the effects of strong interference (joint effects of clutter and other electronic counter measures(ECM)). Limited channel and reduced rank STAP techniques are alternatively proposed in the literature to address the computational issues present in fully adaptive STAP. This paper investigates performance of two channel ΣΔ (SigmaDelta)-STAP for detecting multiple targets in Ground Moving Target Indication (GMTI) scenario in the presence of clutter. Clutter is simulated from an airborne platform operating at 10 GHz and a pulse repetition frequency of 5 kHz. First, a single ground moving target is detected effectively using the Σ Δ-STAP. Further, this algorithm is applied to detect two targets moving with 7.5 m/s and 15 m/s velocities. In addition, five target scenario is considered and the Σ Δ-STAP algorithm successfully detected these five targets, © 2021 IEEE.