CAJ | 학술논문

本文针对传统测向定位算法的性能受限于测向精度这一问题，提出一种基于粒子滤波的多传感器联合测向定位算法。首先，推导出联合测向定位的理论定位误差，进而提出加权平均方法对初步测向定位结果进行处理得到粒子的先验分布。其次，提出测向数据融合的粒子滤波算法用于对发射源进行定位，并对该算法进行定位误差分析。理论推导和仿真结果表明本文算法能够大幅度降低定位误差，提高定位精确度，与其他测向定位算法相比体现了其先进性。
본문침대전통측향정위산법적성능수한우측향정도저일문제，제출일충기우입자려파적다전감기연합측향정위산법。수선，추도출연합측향정위적이론정위오차，진이제출가권평균방법대초보측향정위결과진행처리득도입자적선험분포。기차，제출측향수거융합적입자려파산법용우대발사원진행정위，병대해산법진행정위오차분석。이론추도화방진결과표명본문산법능구대폭도강저정위오차，제고정위정학도，여기타측향정위산법상비체현료기선진성。
According to the performance of the classical bearings-only localization algorithm being limited to the direction finding precision,this paper proposes a multi-sensor joint bearings-only localization method based on particle filtering. Firstly,the theoretical error of joint bearings-only localization is derived,and the weighted average method is proposed to process the coarse localization results,in order to obtaln the prior distribution of particles.Secondly,data fusion of the di-rection finding is introduced based on particle filtering,the results are used to find the position of the transmitter,and then the localization error of the algorithm is assessed.Theoretic deduction and numerical simulation results verify that the pro-posed algorithm could dramatically decrease localization error and improve the accuracy,and is superior to other algo-rithms.