为了在重杂波区内检测出运动的目标 ,提出了一种改进的 Hough变换算法用于初始航迹的建立。通过检测在变换后参量空间的积累程度 ,可以识别处于匀速运动的目标。同传统的 Hough变换算法相比 ,设计中选取了更为合适的变换参量 ,改进了原算法中性能随距离变化的缺点。解决了跨相邻图元造成积累丢失 ,推算并验证了航迹起始的检测概率及虚警概率。该算法充分利用了目标在采样时间段内的累积信息 ,具有简化的检测手段 ,和良好的检测性能 In order to detect the target of motion in the heavy clutter region, an improved Hough transform algorithm is proposed for the initial track establishment. By detecting the degree of accumulation in the transformed parametric space, the target at constant velocity can be identified. Compared with the traditional Hough transform algorithm, more suitable transform parameters are selected in the design, which improves the shortcoming that the performance of the original algorithm changes with the distance. Which solves the problem of accumulation loss caused by adjacent primitives and deduces and verifies the detection probabilities and false alarm probabilities of track initiation. The algorithm makes full use of the accumulated information of the target in the sampling period, has a simplified detection means, and good detection performance