Unknown Transmit Power RSSD-Based Localization in a Gaussian Mixture Channel

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Abstract
Localization is a critical task in wireless sensor networks (WSNs). However, accurate localization is difficult when there is noise from external sources and faulty nodes, especially when the transmit power is unknown. Signal strength-based localization methods are popular due to their low complexity and simple implementation. In this paper, robust localization based on the received signal strength difference (RSSD) is considered with unknown transmit power and Gaussian mixture noise in the presence of faulty nodes. A robust fault-tolerant localization (RFLT) technique is proposed by reformulating the original localization problem using a generalized trust-region subproblem (GTRS) framework. The resulting problem is non-convex so it is divided into two subproblems using a regularization item (RI) with a block-update surrogate function (BUSF). The active set method (ASM) is used to obtain an initial solution. The corresponding Cramer–Rao lower bound (CRLB) for Gaussian mixture noise is derived as a benchmark. Simulation results are presented which show that the performance of the proposed method is superior to other state-of-the-art methods.
Funding Information
  • National Natural Science Foundation of China (52071200, 52001093)
  • Postdoctoral Science Foundation of China (2020M670887)
  • Top-Notch Innovative Program for Postgraduates of Shanghai Maritime University (2019YBR002, 2019YBR006)
  • China Scholarship Council

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