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为了在重杂波区内检测出运动的目标,提出了一种修正的Hough变换算法用于初始航迹的建立。与传统的算法相比,修正算法充分利用目标的运动学信息,选取了更为合适的变换参量,仅利用较少拍数的量测就可以完成起始,能够在检测概率较高的环境下具有良好的起始性能。计算机仿真结果表明,算法能够克服传统算法的多拍扫描,大大缩短实际的计算量和起始时间,实现对航迹起始的在线改进。
In order to detect the motion target in the heavy clutter region, a modified Hough transform algorithm is proposed for the initial track establishment. Compared with the traditional algorithm, the correction algorithm makes full use of the kinematic information of the target, selects the more appropriate transform parameters, and can start with only the less number of measurements, which can be used in the detection of high probability Has a good initial performance. Computer simulation results show that the algorithm can overcome the traditional algorithm of multi-shot scanning, greatly reducing the actual computation and start-up time, to achieve the online start of the track improvement.