基于主动探测与被动截获协同的多源异类数据融合定位算法研究

Research on Multi Source Heterogeneous Data Fusion Location Algorithm Based on Active Detection and Passive Acquisition

针对当前主动雷达在复杂电磁环境下的使用风险,以及无源被动定位精度较差的问题,本文提出了一种基于极大似然意义下的雷达主动探测与电子侦察被动截获相结合的数据融合最优定位算法,该算法有效地提高了目标定位精度.通过Monte Carlo仿真表明,在信噪比适当的情况下,所提算法能够达到CRLB界,验证了该算法的有效性.

For the current operation risk of active radar which encounter frequently under the complicated electromagnetic environment,based on the Maximum Likelihood Estimation(MLE),a novel optimal locating algorithm which make a data fusion combining the active detection of radar and the passive interception of electronic reconnaissance is proposed in this paper.This new algorithm also aims at the common problem of the low accuracy in the passive location,and it can increase the location accuracy effectively.The result of the Monte Carlo simulation demonstrates the effectiveness of the proposed algorithm,by which can attain CRLB boundary when SNR is appropriate.