Selective Hybrid RSS/AOA Approximate Maximum Likelihood Mobile intra cell Localization.

Abstract

We present in this paper two selective combined schemes for mobile location. These schemes are based respectively on the Linear Least Squares (LLS) and the Approximate Maximum Likelihood (AML) approaches. The proposed positioning techniques apply to intra cell localization in which the serving base station (BS) Angle Of Arrival (AOA) and the best two Received Signal Strength (RSS) measurements taken at some reference points (with known positions) are combined for mobile user localization. Such nodes are either localized users or anchors. The proposed approach achieves better performance compared to the selective RSS LLS method. The use of only the two best RSS measures reduces the location bias effect induced by propagation. It also decreases the computational burden implied by multiple RSS combining. Simulation results show that, for certain scenarios, the proposed selective hybrid RSS/AOA LLS (respectively AML) with two nodes outperforms the selective RSS LLS with up to seven nodes (respectively to ten nodes)and achieves equivalent performances to AOA-based approaches.