A false discovery rate based detector for detection of targets in clutter and noise

This paper presents a new framework for detection of targets in clutter and noise. Conventional radar detection techniques involve testing each range cell separately at a predefined probability of false alarm. In this paper, we propose a novel surveillance paradigm that controls the false discovery rate (FDR) for a specified surveillance area (SA), which consists of a number of range cells. This approach is adaptive to the number of targets in the surveillance area, and improved detection performance may be achieved at the cost of slightly higher false alarms over the surveillance area.