Received signal strength (RSS)-based wireless localization is easy to implement at low cost. In practice,exact positions of anchors may not be available. This paper focuses on determining the location of a source in the presence of inaccurate positions of anchors based on RSS directly. We first use Taylor expansion and a min-max approach to get a maximum likelihood estimator of the coordinates of the source. Then we propose a relaxed semi-definite programming model to circumvent the non-convexity. We also propose a rounding algorithm considering both inaccurate source location and inaccurate anchor locations.Simulation results together with analysis are presented to validate the proposed method.
UBiGTLoc: A Unified BiLSTM-Graph Transformer Localization Framework for IoT Sensor Networks
Department of Computer Science, The University of Vermont（计算机科学系，佛蒙特大学）；Department of Computer Science and Engineering, American University of Sharjah（计算机科学与工程系，阿曼大学沙迦分校）；Department of Electrical Engineering, The University of Vermont（电气工程系，佛蒙特大学）；Department of Mechanical Engineering, The University of Vermont（机械工程系，佛蒙特大学）
Self-Localizing MIMO Beam Mapping with Continuously Evolving Channel Memory
School of Science and Engineering（科学与工程学院）；Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen)（深圳未来网络智能化研究院）；Guangdong Provincial Key Laboratory of Future Networks of Intelligence（广东省未来网络智能化重点实验室）
