分析了经典Hough变换(HT)在参数空间映射方法存在无效映射及批处理投票缺乏实时性等问题, 提出了依据空中目标速度约束条件选取样本进行收敛映射和在线投票的改进HT检测算法。仿真实验结果表明, 改进目标航迹检测算法在信噪比(SNR)大于0.8 dB时都具有较好的效果, 算法目标捕获时间因信噪比不同而不同。信噪比大时可以迅速捕获目标, 信噪比低时则以时间换取检测概率。

After analyzing the invalid mapping and the poor real-time performance in batching voting of the classical Hough Transform (HT) in parameter space mapping method, an improved HT detection algorithm was proposed on the basis of converging mapping of the aerial target velocity constraint sampling and online voting.The simulation results show that the improved target track detection algorithm achieves better performance while SNR is greater than 0.8 dB, and the target acquisition time varies with different SNR.The target can be captured quickly when SNR is high, and we can use time to exchange for the probability of detection when it is low.