Geometrical positioning with selective hybrid RSSD/AOA weighting AML algorithm for NLOS localization

In Wireless communications, one of the main problems of uncooperative emitters localization based on Received Signal Strength (RSS) measurements is the Non-Line-of-Sight (NLOS) propagation. The weighting approach is among the important NLOS mitigation approaches whereby the system attempts to localize with both Line-of-Sight (LOS) and NLOS measurements. In the frame of uncooperative emitters and in intra cell environnement, an Approximate Maximum Likelihood (AML) based solution is proposed. This solution uses the relative RSSs observed at different locations. The proposed inta cell localization algorithm consists of a selective and hybrid AML estimator which combines the weighted ranges to the best three nodes with the angular beam seen at the serving BS. Numerical results prove that the proposed algorithm gives better performance compared to previous approaches.