A Novel Two-Step Scheme Based on Joint GO-DPCA and Local STAP in Image Domain for Multichannel SAR-GMTI

Multichannel synthetic aperture radar ground moving target indication has been widely used and get great attention nowadays. Traditional adaptive methods like space-time processing (STAP) need to calculate search the maximum of test statistic pixel by over a large range radial velocity, which will cause computational burden. Nonadaptive displaced phase center antenna (DPCA) signal loss targets, thereby degrading performance targets detection velocity estimation. To improve problem mentioned above, this article proposes novel two-step scheme based on greatest (GO)-DPCA Local STAP. In step I, GO-DPCA utilizes complex images channels with different baselines for joint detection. Then, in II, only local data detected I needs be extracted from original image domain clutter suppression estimation simultaneously Since gain depends baseline length, can improved proposed compared conventional DPCA. Considering usually distribute sparsely scene, II avoid most burden caused pixel. Finally, experimental results both simulated acquired are given validate effectiveness method.