为了提高检测性能和实现多功能 ,PD雷达常采用高、中、低脉冲重复频率 PRF。对应一定的脉冲重复频率 ,PRF会出现测距模糊、测速模糊。以聚类算法为基础 ,本文介绍了一种用于雷达目标解距离、速度模糊的滑窗相关器算法。该滑窗算法是一种遍历性的算法。文中对该算法的解模糊正确率、运算效率进行了讨论 ,分析了解模糊正确率与脉冲重复频率 PRF、检测范围、滑窗宽度间的关系 ,同时给出了仿真结果。 In order to improve detection performance and achieve multi-function, PD radar often uses high, medium and low pulse repetition frequency PRF. Corresponding to a certain pulse repetition frequency, PRF will appear fuzzy ranging, speed fuzzy. Based on the clustering algorithm, this paper introduces a sliding window correlator algorithm for radar target solution distance and speed fuzzy. The sliding window algorithm is an ergodic algorithm. In this paper, the fuzzy correctness and computational efficiency of this algorithm are discussed. The relationship between fuzzy correct rate and pulse repetition frequency (PRF), detection range and sliding window width is analyzed and the simulation results are given.