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Enhanced AoA Estimation and Localization Through Transmitter Precoder Design

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Abstract

We propose a novel algorithm to improve the accuracy in estimating the angle-of-arrival (AoA) when the MUSIC (MUltiple SIgnal Classification) algorithm is used. An optimal precoder, with the objective to minimize the estimation errors of the AoAs, is first derived. However, to compute the optimal precoder requires the channel side information at the transmitter (CSIT) exclusive of the receiver array, which cannot be separately estimated practically. A more practical precoder design approach, which leverages on the feedback CSIT estimated at the receiver, is next proposed. We demonstrate that the practical precoder performs closely to the optimal precoder through simulation, and both precoders exhibit considerable performance improvement compared with the AoA estimation without precoder. Furthermore, the precoder technique is applied to a known AoA-based localization method, and the improvement on the accuracy of the location estimate is studied.

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Acknowledgments

This work is supported by the National Research Funding Grant NRF2007IDM-IDM002-069 on Life Spaces (POEM) from the IDM Project Office, Media Development Authority of Singapore.

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Correspondence to Li Zhang.

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This work was partially presented at the IEEE International Symposium on Personal, Indoor, Mobile and Radio Communications held at Toronto, Canada, in September 2011.

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Zhang, L., Chew, Y.H. & Wong, WC. Enhanced AoA Estimation and Localization Through Transmitter Precoder Design. Int J Wireless Inf Networks 19, 315–325 (2012). https://doi.org/10.1007/s10776-012-0186-0

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