TOA-Based Relative Localization With Reflecting Signal Paths Assisted: Algorithm and Performance Analysis

• Published in: IEEE sensors letters Vol. 6; no. 9; pp. 1 - 4
• Main Authors: Zhang, Zhibo, Chang, Qing, Zhao, Na, Wang, Hao
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cramer–Rao lower bounds (CRLB); Distance measurement; Genetic algorithms; Iterative algorithms; Iterative methods; Localization; localization algorithm; Location awareness; Lower bounds; Maximum likelihood estimation; Sensor networks; Sensor systems; Sensors; Signal paths; teflecting dignal paths; time-of-arrival (TOA); Wireless sensor networks
• ISSN: 2475-1472; 2475-1472
• DOI: 10.1109/LSENS.2022.3202100

This letter investigates a communication node relative localization problem based on time-of-arrival (TOA), where both the distances in direct signal paths and reflecting signal paths are measured. A wireless sensor network model of distance measurements and node locations is established, and a new two-step localization iterative algorithm is proposed. Simulation results illustrate the performance of the proposed algorithm, which is compared with Cramer-Rao lower bounds (CRLBs) and genetic algorithm (GA)-based algorithms.