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针对近距离空间交会对接低信噪比情况下标志灯像点的识别,提出了一种基于多帧高阶互相关和最大似然比检测的标志捕获技术。首先通过单帧自适应门限检测和两次高阶互相关处理抑制大量随机噪声,然后利用最大似然比检测自适应算法从候选轨迹中剔除大部分虚假轨迹,最后通过特殊设计的后处理操作进一步剔除残留的干扰轨迹,识别出真正的目标轨迹。实验表明,可识别的最低信噪比为0.5。
Aimed at the recognition of the beacon light spot in the case of short space rendezvous and docking at low SNR, a mark acquisition technique based on multi-frame high-order cross-correlation and maximum likelihood ratio detection is proposed. Firstly, a large number of random noises are suppressed by single-frame adaptive threshold detection and two higher-order cross-correlation processes. Then most of the false trajectories are eliminated from candidate trajectories by using maximum likelihood ratio detection adaptive algorithm. Finally, through specially designed post-processing operations Remove the residual interference track, identify the real target track. Experiments show that the lowest SNR that can be identified is 0.5.