Paper Info
Title
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.
Year
Venue
Field
2013
EW
Base station,Mobile location,Computer science,Cell localization,Maximum likelihood,Angle of arrival,Algorithm,Speech recognition,Signal strength,RSS,Linear least squares
DocType
Citations 
PageRank 
Conference
3
0.55
References 
Authors
1
3
Name
Order
Citations
PageRank
Leila Gazzah1122.87
Leïla Najjar Atallah24414.04
Hichem Besbes38022.41