This letter addresses the localization problem of a directional source in non-line-of-sight (NLOS) environments. To estimate both the position and the orientation of the source, we propose an iterative algorithm that skillfully adopts the received-signal-strength (RSS) and time-of-arrival (TOA) measurements. The algorithm is derived by converting the non-convex estimating problem into a generalized trust region subproblem (GTRS). The converted problem could be efficiently solved by a bisection process. Considering that the directivity of the target could greatly affect its RSS measurements in different directions, a preliminary estimate for the target’s location is conducted using only the TOA measurements, based on which we then estimate the orientation of the source and the NLOS biases. The alternating process of the algorithm can converge quickly. Finally, the excellent performance of the proposed algorithm is demonstrated through simulations.

中文翻译：

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使用 RSS-TOA 组合测量在 NLOS 环境中进行定向目标定位


这封信解决了非视距 (NLOS) 环境中定向源的定位问题。为了估计源的位置和方向，我们提出了一种迭代算法，巧妙地采用接收信号强度（RSS）和到达时间（TOA）测量。该算法是通过将非凸估计问题转换为广义信赖域子问题（GTRS）而导出的。转换后的问题可以通过二分过程有效地解决。考虑到目标的方向性会极大地影响其不同方向的RSS测量，因此仅使用TOA测量对目标位置进行初步估计，然后根据该测量估计源的方向和NLOS偏差。该算法的交替过程能够快速收敛。最后，通过仿真证明了所提算法的优异性能。