CAJ | 학술논문

针对 Chan 定位算法在非视距(NLOS)环境下定位性能较差的缺点,提出一种基于多基站 TOA区域质心修正的Chan定位算法,该算法利用Chan算法初始定位,再通过TOA区域质心校正,以提高定位精度.仿真结果表明,该算法有效减小了NLOS误差对定位估计的影响,在NLOS误差较大的环境下仍具有良好的定位精度,性能优于Chan算法和Chan-Taylor协调定位算法.
침대 Chan 정위산법재비시거(NLOS)배경하정위성능교차적결점,제출일충기우다기참 TOA구역질심수정적Chan정위산법,해산법이용Chan산법초시정위,재통과TOA구역질심교정,이제고정위정도.방진결과표명,해산법유효감소료NLOS오차대정위고계적영향,재NLOS오차교대적배경하잉구유량호적정위정도,성능우우Chan산법화Chan-Taylor협조정위산법.
Due to Chan location algorithm’s poor performance in Non-Line-Of-Sigh (NLOS) environment, the Chan location algorithm based on the TOA centroid position was proposed. The initial position was calculated with Chan’s algorithm, then this algorithm through TOA centroid position correction, so as to improve the positioning accuracy. The simulation results expatiate that the location algorithm is effective to reduce the impact of NLOS error of position estimation and the location accuracy is significantly improved in worse NLOS environment, and the performance of this algorithm is better than Chan’s algorithm and Chan-Taylor’s algorithm as well.