低计算量非视距定位的组合优化选择性判决残差检测算法

摘要

传统的RT(NLOS)算法虽然降低了一点定位误差概率,但是却需要极高的复杂度,因此不能满足现在严格的应用需求.本文提出了一种改进的RT算法,即低运算复杂度的CO-SRT(SRT)算法,并且给出了详细的分析.仿真结果表明,该定位算法满足了在不同环境下、不同网络参数下的定位需求,这种CO-SRT(SRT)算法可以使用四个视距信号进行定位,而且性能与RT极为相近.通过优化2-6个不同的联合的非视距信号,SRT算法在复杂度方面大约降低了52.3%-80.3%.%Traditional RT(NLOS)Algorithm has high complexity even if it eliminates the positioning error probability a little and cannot satisfy the strict application demands now.In this paper,an improved RT algorithm COSRT(SRT)with lower computational complexity is presented and analyzed in detail.From the results of the simulation,it satisfies the localization requests under different environments and network parameters.And so CO-SRT(SRT)can localize with four LOS signals whose performance is much similar to the RT algorithm.By optimizing the combination of the 2～6 different NLOS signals,SRT algorithm reduces the computational complexity by52.3%-80.3% typically.