Ground stationary target detection method for airborne wide-band radar based on statistical characteristics

Effective ground stationary operational target detection is the precondition of subsequent target identification for helicopter-borne fire-controlled radar. More abundant target information could be obtained when adopting wide-band radar than traditional narrow-band one. While there exit such problem of high false alarm and poor adaptability when applying traditional detection methods. Thus, a novel ground stationary target detection method for airborne wide-band radar based on statistical characteristic is presented in this paper. By considering statistical distribution property in both range and azimuth directions, this method could distinguish the target from strong ground clutter background adaptively and effectively. Experiment results show that our algorithm not only can improve detection performance significantly but also could enhance processing efficiency.