Abstract: This work has a very important significance and practical value, which is about the elimination of radar relative deviation on the late track association and track fusion. In this paper, the interpolation denoising method based on distance plus weight is presented. The simple and applied method can overcome the shortcomings of the traditional ones. They cannot be used in different paces, which are based on Bayesian filtering, Kalman filtering and particle filtering. Moreover, the experimental results prove the validity of the measures.

Key words: radar sensor, track confluction, amended logic method, average distance adding power

摘要： 消除雷达的相对偏差对后期航迹关联、航迹融合等工作的进行有重要的意义和现实的价值。传统的基于贝叶斯滤波偏差消除方法、卡尔曼滤波偏差消除方法和基于粒子滤波算法偏差消除方法要求数据等步长。针对这一缺点，提出了一种基于距离加权平均的内插去噪法。该算法运算量小，简单实用，满足实时性要求，归一化噪声方差小于0.4，实验结果证明了该方法的有效性。

关键词: 雷达传感器, 航迹融合, 修正逻辑法, 距离平均加权