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The problem of Angle-of-Arrival estimation of multiple sources in the presence of mutual coupling is addressed. The presence of unknown mutual coupling between antenna array elements is known to degrade the performance of direction-finding algorithms. We first present a result explaining why some traditional methods, that estimate Angles-of-Arrival (AoAs) of multiple sources in the presence of mutual...
This paper presents an iterative Variational Bayes (VB) algorithm that allows sparse recovery of the desired transmitted vector. The VB algorithm is derived based on the latent variables introduced in the Bayesian model in hand. The proposed algorithm is applied to the Angle-of-Arrival (AoA) estimation problem and simulations demonstrate the potential of the proposed VB algorithm when compared to...
The problem of Angle of Arrival estimation of multiple sources in the presence of mutual coupling is addressed. The presence of unknown mutual coupling between antenna array elements is known to degrade the performance of super resolution direction-finding algorithms. In this paper, we propose an iterative algorithm based on Alternating Projection in order to optimise the Maximum Likelihood cost function,...
The problem of Joint Angle and Delay Estimation (JADE) in the presence of mutual coupling is addressed. The system consists of a Single Input Multiple Output (SIMO) link in an OFDM communication setting. This paper presents two resilient algorithms that could cope with mutual coupling. The first one is an extension of an existing algorithm in order to perform JADE, which allows resolvability of more...
This paper presents and analyses two computationally attractive Maximum Likelihood (ML) estimators for joint Angle of Arrival (AoA) and Time of Arrival (ToA) of a Single Input Multiple Output (SIMO) link in an OFDM communication setting. We consider a rich multipath channel, which is the case of an indoor environment, where the received signal is a sum of scaled and delayed versions of the original...
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