Weak multi-targets track-before-detect algorithm based on recursive Hough transform

Abstract

Aiming at the problem that the existing track-before-detect technology based on Hough transform(HT-Tbd) cannot realize the real-time detection of weak multi-target and some targets may be missing detection, a weak multi-target track-before-detect algorithm based on recursive Hough transform is proposed. For the obtained measurement data, firstly, the first $n$ frames measurement data is subjected to non-coherent integration detection by using the HT-TBD technology to obtain the initial integration matrix and storage array. Then, the data of 2 ~ $n$ + 1 frames, 3 - n + 2 frames,… are sequentially subjected to recursive HT-TBD processing, By updating the accumulative matrix and storage array, the data of the previous moment are eliminated and the data of the next time are stored, realizing the recursive detection of each time. Finally, the track correlation is performed according to the detection result of each moment. The algorithm can effectively reduce the amount of calculation and improve the computational efficiency of the method while realizing effective detection of weak multi-targets and avoiding target missing detection.