Abstract
Aiming at the problem of reliable detection and recognition of targets in the short-range laser detection system under complex background and strong countermeasure environment, the broadening characteristics of pulse laser echo in the large dynamic change scene are studied, and an adaptive time discrimination algorithm is proposed. The algorithm uses the extracted pulse features to correct the echo delay, and then extracts one-dimensional high resolution range profile (HRRP). On this basis, the variation law of range image and intensity image of targets with different reflection characteristics is studied, and a laser target recognition and anti-jamming method based on prior model is proposed to improve the reliability of laser detection in complex environment and reduce the false alarm probability. Through numerical simulation analysis, the results show that the proposed method can identify the target quickly and efficiently in a complex background environment, effectively improve the efficiency and reliability of target detection, for the subsequent short-range laser detection system anti-interference provide reference for engineering design.
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