Leila Gazzah

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In this paper, we present a selective hybrid weighting approach to intra cell locate a mobile station (MS) when both the range and the angle measurements are corrupted and Non-Line-of-Sight (NLOS) are not identified from Line-of-Sight (LOS) measurements. The NLOS effects are minimized by means of proper range scaling use and AOA to the base station(More)
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(More)
Due to the bias of range measurements in non-line-of-sight (NLOS) environments, location schemes performances undergo a dramatical degradation. This paper proposes a set of methods that integrate all the available heterogeneous measurements, without identifying NLOS from line-of-sight (LOS) measurements, to achieve more accurate location estimation. The(More)
This paper considers cooperative localization where the additional information from short-range communication among the mobile stations (MSs) in fourth generation (4G) cellular networks is used in the purpose of improving the localization accuracy. The problem of localization of MS in non-line-of-sight (NLOS) environment with uncooperative emitters is(More)
We address the problem of line of sight/no line of sight (LOS/NLOS) identification in a hybrid context where received signal strength and angle of arrival (RSS/AOA) measurements are combined. Two approaches are proposed, which aim to mitigate the range bias introduced by NLOS propagation. First, a hybrid hypothesis test (HHT) is proposed whose aim is to(More)
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(More)
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