A Decentralized Positioning Scheme Based on Recursive Weighted Least Squares Optimization for Wireless Sensor Networks

This paper presents a new positioning scheme based on recursive weighted least squares (RWLS) optimization for wireless sensor networks. The proposed scheme is derived from minimizing a recursive-in-time cost function and then realized in an iterative decentralized manner. The target location is computed iteratively by taking a weighted average of the local estimates according to the reliability information, where a sensor computes a new estimate based on its own observation and the previous sensor´s estimate. Computer simulation results demonstrate that the proposed scheme has better positioning accuracy than previous related methods.