由于测量误差和参数空间分割大小的影响,并行Hough变换航迹起始方法仍存在较多的杂波。针对这一问题,提出一种基于模糊的并行Hough起始算法,该算法利用不同时刻模糊函数的隶属度分别作为参数空间的累积量,继而将具有相同索引的累积量构成累加向量,再根据规则来确定累加矩阵,最后通过门限检测判断是否航迹起始。仿真实验表明,该算法可有效抑制变换误差的影响,降低虚假航迹占有率,并在密集杂波下准确地起始航迹。

Due to impact of radar measurement error and parameter space partition size, track initiation method based on parallel Hough transform still reveals a lot of clutter. To solve this problem, a parallel Hough transform track initiation algorithm based on fuzzy proposed. After mapping the membership degree of fuzzy logic function in different time into the parameter space separately, the accumulated results with the same index constitute an accumulated vector. According to the rules, the accumulated matrix can be obtained. Finally, we a decision on whether to initiate the track or not through the threshold detection. Simulation results show that this algorithm can constrain of mapping error effectively, decrease the occupancy of false tracks and initiate the track accurately under dense clutter environment.