Constrained weighted least Squares location algorithm using Received Signal Strength measurements

Determine the location of a target has gained considerable interest over the past few years. The Received Signal Strength (RSS) measurements and Differential RSS (DRSS) measurements can be converted to distance or distance ratio estimates for constructing a set of linear equations. Based on these linear equations, a constrained weighted least Squares (CWLS) algorithm for target localization is derived. In addition, an iterative technique based on Newton's method is utilized to give a solution. The covariance and bias of the CWLS algorithm is derived using perturbation analysis. Simulation shows that the proposed estimator achieves better performance than existing algorithms with reasonable complexity.