An Optimal Multistatic Synthetic Aperture Radar Reconstruction Filter

Abstract

Approximations are used to overcome spatial and time variations in the multistatic synthetic aperture radar (MSAR) image formation process in order to define an optimal reconstruction filter that maximizes signal to noise ratio (SNR), clutter to noise ratio (CNR), and target to clutter ratio (TCR). The objective is to geolocate a known target with unknown position. The target is surrounded by homogeneous clutter while return signals are corrupted by thermal noise in each receiver.