基于参数重构的非直达波混合定位算法

Algorithm of NLOS Hybrid Location Based on parameters Reconstruction

  • 摘要: 在蜂窝无线定位中,非视距(non-line-of-sight,NLOS)误差是影响定位精度的主要因素之一,故如何减轻NLOS误差影响是无线定位研究的热点。本文针对NLOS环境下的定位问题,提出基于参数重构的混合定位算法。首先利用波达角(angle-of-arrival,AOA)重构方法重构直达波AOA,随后充分利用AOA的重构结果,以最大似然估计法迭代估计直达波的波达时延(time-of-arrival,TOA),最后利用这两个重构后的参数以视距(line-of-sight,LOS)混合定位方法估计出移动台的位置,以实现NLOS环境下的单基站定位,并获取较高的定位精度。这种方式无需视距与非视距识别,改进了传统的单目标参数重构模式。仿真结果验证了该算法的有效性。

     

    Abstract: It is well known that the positioning accuracy in cellular wireless communication systems is largely affected by non-line-sight(NLOS) error, and thus the NLOS error mitigation algorithm has become a hot subject of research in the wireless location field. This paper presents a location algorithm for NLOS environment based on parameters reconstruction. Firstly, the methods of AOA reconstruction to reconstruct the direct angle-of-arrive(AOA) are presented. Then the result of AOA reconstruction is used to reconstruct the direct time-of-arrive(TOA) using maximum likelihood estimation. The algorithm of line-of-sight(LOS) hybrid location is used to estimate the position of mobile station using the reconstructed parameters, and the single base location in the condition of NLOS is implemented with high accuracy. This method does not need LOS or NLOS identification. The traditional model of single target parameter reconstruction is improved. The simulation results show the effectiveness of the algorithm.

     

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