Target Localization in Wireless Sensor Networks Based on Received Signal Strength and Convex Relaxation

Sensors

Weizhong Ding¹  Baofu Fang¹  Chao Guan¹  Qiubo Zhong¹  Yan Wang¹ 

[1] Robotics Institute, Ningbo University of Technology, Ningbo 315048, China;

关键词: target localization;    maximum likelihood estimation;    received signal strength;    semi-definite programming;    wireless sensor networks;   

DOI  :  10.3390/s22030733

来源: DOAJ

【 摘 要 】

A new positioning algorithm based on RSS measurement is proposed. The algorithm adopts maximum likelihood estimation and semi-definite programming. The received signal strength model is transformed to a non-convex estimator for the positioning of the target using the maximum likelihood estimation. The non-convex estimator is then transformed into a convex estimator by semi-definite programming, and the global minimum of the target location estimation is obtained. This algorithm aims at the $L_0$ known problem and then extends its application to the case of $L_0$ unknown. The simulations and experimental results show that the proposed algorithm has better accuracy than the existing positioning algorithms.

【 授权许可】

Unknown