naa a22 4500 510797733 CHVBK 20180411083342.0 cr unu---uuuuu 180411e20130901xx s 000 0 eng 10.1007/s11277-013-1040-0 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1040-0 Weighted Linear Least Square Localization Algorithms for Received Signal Strength [Elektronische Daten] [Shixun Wu, Dengyuan Xu, Shouyin Liu] Localization based on the received signal strength (RSS) is by far the cheapest and simplest option. By constructing the appropriate path-loss model, the RSS information can be converted to the distance estimates which can determine the position of the target node with Linear Least Square (LLS) algorithm. In this paper, the LLS algorithm can be directly applied by subtracting a reference node equation from the remaining ones rather than defining a new variable, which selects the reference node with the maximal RSS among all the RSS measurements. Furthermore, based on the latest research results about the estimates of the squared distance, we investigate the unbiased and linear minimum mean square error (MMSE) estimates of the squared distance, and the covariance matrixes about the two estimates with the proposed LLS algorithm are derived, respectively. Then the weighted LLS localization algorithms are presented by utilizing the covariance matrixes. Simulation results demonstrate that the localization accuracy of the linear MMSE estimate with the proposed LLS algorithm is superior to the unbiased estimate. Moreover, the proposed weighted LLS algorithms outperform the traditional LLS localization algorithms in terms of localization accuracy. Springer Science+Business Media New York, 2013 RSS nationallicence Path-loss model nationallicence MMSE nationallicence LLS nationallicence Weighted nationallicence Localization nationallicence Algorithm nationallicence Wu Shixun Information Science and Engineering College, Chongqing Jiaotong University, Chongqing, China aut Xu Dengyuan Information Science and Engineering College, Chongqing Jiaotong University, Chongqing, China aut Liu Shouyin Department of Electronics and Information Engineering, Central China Normal University, Wuhan, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/1(2013-09-01), 747-757 0929-6212 72:1<747 2013 72 11277 https://doi.org/10.1007/s11277-013-1040-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1040-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu Shixun Information Science and Engineering College, Chongqing Jiaotong University, Chongqing, China aut NATIONALLICENCE 700 1- Xu Dengyuan Information Science and Engineering College, Chongqing Jiaotong University, Chongqing, China aut NATIONALLICENCE 700 1- Liu Shouyin Department of Electronics and Information Engineering, Central China Normal University, Wuhan, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/1(2013-09-01), 747-757 0929-6212 72:1<747 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer