Multiple Moving Target Detection and Trajectory Estimation Using a Single SAR Sensor

| The paper presents a novel methodology for determining the velocity and location of multiple moving targets using a single stripmap synthetic aperture radar (SAR) sensor. The so-called azimuth position uncertainty problem is therefore solved. The method exploits the structure of the amplitude and phase modulations of the returned echo from a moving target in the Fourier domain. A crucial step in the whole processing scheme is a matched ltering, depending on the moving target parameters, that simultaneously accounts for range migration and compresses twodimensional signatures into one-dimensional ones without loosing moving target information. A generalized likelihood ratio test approach is adopted to detect moving targets and derive their trajectory parameters. The e ectiveness of the method is illustrated with synthetic and real data covering a wide range of targets velocities and signal to clutter ratios (SCRs). Even in the case of parallel to platform moving target motion, the most unfavorable scenario, the proposed method yields good results for, roughly, SCR> 10dB. Keywords|Synthetic aperture radar, azimuth position uncertainty problem, multiple moving targets, trajectory parameter estimation, range migration, generalized likelihood