Multiple Target Localization Based on Alternate Iteration in Wireless Sensor Networks
Zhongyou Song and Jie Li (State Grid Chongqing Electric Power Co. Electric Power Research Institute, China); YuanHong Zhong (Chongqing University Of China, China); Yao Zhou (Chongqing University of China, China)
This paper presents a study of multiple target localization in Wireless Sensor Networks(WSNs). A localization method which combines compressive sensing (CS) theory with the alternate iteration method is proposed to improve the localization accuracy. The proposed method firstly divides the location area into discrete grid and transforms multiple target localization problem to the CS problem. And then, traditional localization algorithm based on CS is presented to obtain rough position estimation according to the received signal strengths(RSSs). Finally, the alternate iteration method is presented to further refine the position estimation of target. During alternate iteration process, diamond search is employed to find the positions of targets accurately. Simulation results show that the proposed algorithm overcomes the limitation of traditional CS-based localization algorithms which can only recover targets in the center of grid, and obtains good multiple target localization performance on localization accuracy.
Journal: International journal of simulation: systems, science & technology V18
Published: Mar 31, 2017