非视距和未知传输参数环境下的RSS-TOA目标定位算法

Hybrid RSS-TOA Target Localization Algorithm in Unknown Transmission Parameters and NLOS Environments

在未知传输时间和发射功率的情况下,本文研究了非视距环境下基于RSS-TOA混合测量值的目标定位问题。首先为解决非视距误差会显著降低定位性能这一难题,根据最坏情况下的定位性能优化准则和鲁棒最小二乘法准则构建了未知视距和非视距路径分布状态下的目标定位优化问题。然后为了有效解决非凸和高度非线性的原定位问题,采用二阶锥松弛技术将该问题转化为凸优化问题,并通过内点法有效得到最优解。最后仿真结果验证了所提出的定位算法优于已有的定位算法。

This paper studies the target localization problem based on hybrid Received Signal Strength and Time of Arrival measurements in a non-line-of-sight environment when both the transmission time and transmission power are unknown. First, in order to solve the problem that non-lineof-sight error will significantly reduce the location performance, the target location optimization problem under unknown line-of-sight and non-line-of-sight path distribution is constructed according to the worst-case location performance optimization criteria and robust least squares criteria. To solve the highly non-convex and nonlinear original location problem, a second-order cone relaxation technique is used to transform the problem into a convex optimization problem, and the optimal solution is effectively obtained through the interior point method. Finally, the simulation results show that the proposed localization algorithm is superior to the existing localization algorithms.