Research On Track-Before-Detect Technology Of Radar Signal

The detection and tracking of dim targets in dense clutter environment poses great challenges to modern radar, it urgently needed to improve the detection ability of modern radar in low signal-to-clutter ratio environment. The track-before-detect(TBD) technology is a new signal processing technology, which can realize the detection and tracking of dim targets in low signal-to-clutter ratio environment. As a result, it has been widely studied in the field of radar recently. Single radar often faces the problems of low detection ability, short effective detection distance and so on for dim targets detection. However, the multi-radar system can get more information about dim targets, there is potential to solve the problems. In this paper, the Hough transform TBD algorithm is accepted to do the following aspects of research around the detection and tracking problem of dim targets in dense clutter environment:(1) Aiming at the many false tracks of the stand Hough transform method, an improved Hough transform is proposed, in which the parameter space accumulation method and peak extraction method are improved.(2) Aiming at the detection of the dim targets’ global track for TBD methods, a Hough transform TBD sliding window detection method is proposed, which detects the single frame points of dim targets after tracking and gives global tracks of dim targets after sliding.(3) Aiming at the cooperative detection of the dim targets for double-radar system, a cooperative Hough transform TBD method is proposed, which carries out the system error correction of double-radar system firstly and then uses the data after system error correction to finish the cooperative detection.