Indoor localization for an unknown radio emitter employing graph-based optimization and improved RSSD

被引:1
|
作者
Liu, Kunlei [1 ]
Pan, Lei [1 ]
Zhang, Liyang [1 ]
Gao, Rui [1 ]
Xu, Chenyu [1 ]
Zhang, Lidong [1 ]
Zhang, Qian [1 ]
机构
[1] Tianjin Chengjian Univ, Sch Control & Mech Engn, Tianjin 300384, Peoples R China
基金
中国国家自然科学基金;
关键词
Indoor positioning; Unknown radio emitter (URE); Received signal strength difference (RSSD); SVD-PCC (SP); Factor graph (FG);
D O I
10.1016/j.aeue.2023.154909
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Accurately locating an indoor unknown radio emitter (URE) is a challenging target to ensure telecommunication security. The URE positioning method based on received signal strength difference (RSSD) has attracted considerable attention due to the advantage of not being affected by transmit power and frequency. However, the RSSD-based fingerprint technique cannot accurately express the constraint equations between signal charac-teristics and geographic coordinates because of redundant databases and false matching. In this paper, a novel RSSD-based indoor positioning method using factor graph (FG) for an URE is proposed to improve positioning accuracy and reduce computational complexity. Firstly, the databases are reconstructed by singular value decomposition (SVD) to eliminate redundant factor nodes. Secondly, Pearson correlation coefficient (PCC) is utilized to determine the sub-positioning area. Combing SVD with PCC, the hyperplane equations are recon-structed to build an optimized FG model, called SP-FG. Considering simulation and experiment, the proposed SP-FG algorithm improves the cumulative distribution function (CDF) of average positioning error within 0.5 m by 10% and 14% compared with conventional FG algorithm and K-nearest neighbor (KNN) algorithm, respectively. In addition, this paper discusses the superiority of proposed SP-FG algorithm in positioning accuracy under different reference side lengths, access point (AP) coordinates and numbers.
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页数:10
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