多雷达参数估计融合方法  

Multi-radar Parameter Estimation Fusion Method

作　　者：沈琳琳 徐大专[1] 孔晓龙 许欢 张玮彤 SHEN Linlin;XU Dazhuan;KONG Xiaolong;XU Huan;ZHANG Weitong(College of Electronic and Information Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China)

机构地区：[1]南京航空航天大学电子信息工程学院,南京211106

出　　处：《数据采集与处理》2025年第1期197-206,共10页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(62271254)。

摘　　要：为了提高雷达系统参数估计的精度,本文以贝叶斯原理为基础,提出了参数估计的数据融合和参数融合方法。论文研究了加性复高斯噪声条件下多雷达系统的距离信息、熵误差和均方误差,并给出了距离信息的上界。理论分析表明,位置估计的最大后验估计与位置信息的最大比合并一致,且多雷达系统的等价信噪比等于系统中各雷达信噪比之和。实验结果表明,一般情况下,数据融合的性能总是高于参数融合的性能,但数据融合基于均匀分布的假设,且需要无失真地获取各个节点的接收信号,是理想化的状态;而参数融合更加贴近现实情况,其估计精度与数据融合相差不大。本文的研究结果对提高实际环境中的目标参数估计精度具有重要的指导意义。In order to improve the accuracy of radar system parameter estimation,this paper proposes a data fusion and parameter fusion method for parameter estimation based on Bayesian principle.We derive the distance information,entropy error and mean square error(MSE)for a multi-radar system under additive complex Gaussian noise conditions,and derive an upper bound on the distance information.The theoretical derivation shows that the maximum a posteriori estimate(MAP)of the position estimation is consistent with the maximum ratio of the position information.The equivalent signal-to-noise ratio of the multi-radar system is equal to the sum of the signal-to-noise ratios of radars in the system.Experimental results indicate that,in general,the performance of data fusion is always superior to that of parameter fusion.However,data fusion relies on the assumption of uniform distribution and requires distortion-free acquisition of the received signals from all nodes,representing an idealized scenario.In contrast,parameter fusion is more aligned with real-world scenarios,and its estimation accuracy is not significantly inferior to that of data fusion.The findings of this study provide valuable guidance for improving the accuracy of target parameter estimation in practical environments.

关 键 词：数据融合 参数融合 参数估计 距离信息 熵误差 

分 类 号：TN911[电子电信—通信与信息系统]