A Novel GOSD-CFAR For Millimeter Wave Radar Detection

The capability and of many high resolution sensors have been develop to targets detection task. The millimeter-wave (MMW) radar can use several GHz bandwidth with centimeter range resolution, narrow beam or moving platform to obtain high angular resolution. It has been researched in automobile radar, obstacle detection system, micro aerial vehicles detection and tracking, etc. Feasible and high performance detection strategy is particularly important to the extension of MMW radar application. Constant False Alarm Rate (CFAR) technique is widely used in target detection from radar signal. Conventional CFAR processors meet with problems mainly from two aspects, which are clutter edge effect and target masking effect in multi-target situations. A novel method of greatest of cell averaging and secondary detection (GOSD) CFAR is proposed in this paper. The GO-CFAR can avoid false alarm at clutter edges but results in strong target masking effect. While the SD-CFAR can solve the target masking effect well with detection probability increasing and no false alarm adding. Applied to real MMW radar data obtained by AIRCAS ground based radar device in an actual experiment in Shanghai. The results is demonstrated to be of great potential in alleviating the masking effect and reveal its performance advantages.