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Semidefinite Programming Algorithms for 3-D AOA-Based Hybrid Localization
oleh: Yanbin Zou
| Format: | Article |
|---|---|
| Diterbitkan: | IEEE 2023-01-01 |
Deskripsi
By taking different kinds of measurements at the same time, it may be possible to improve the accuracy of target localization or reduce the number of sensors needed. Time-of-arrival (TOA), time-difference-of-arrival (TDOA), time delay (TD), received signal strength (RSS), and angle-of-arrival (AOA) are the commonly used measurements in wireless localization systems. This article first presents a new weighted least squares (WLS) algorithm for the AOA-only localization problem. Then, a unified solution based on semidefinite programming (SDP) is developed for hybrid AOA/TOA, hybrid AOA/TDOA, hybrid AOA/TD, and hybrid AOA/RSS localization problems. Additionally, thorough simulation results show that the proposed SDP algorithms perform better than state-of-the-art techniques.