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One-bit sparse array DOA estimation

Liu, Chun-Lin and Vaidyanathan, P. P. (2017) One-bit sparse array DOA estimation. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE , Piscataway, NJ, pp. 3126-3130. ISBN 978-1-5090-4117-6.

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One-bit quantization has become an important topic in massive MIMO systems, as it offers low cost and low complexity in the implementation. Techniques to achieve high performance in spite of the coarse quantizers have recently been advanced. In the context of array processing and direction-of-arrival (DOA) estimation also, one bit quantizers have been studied in the past, although not as extensively. This paper shows that sparse arrays such as nested and coprime arrays are more robust to the deleterious effects of one-bit quantization, compared to uniform linear arrays (ULAs); in fact, sparse arrays with one-bit quantizers are often found to be as good as ULAs with unquantized data. Nested and coprime arrays without quanitzers are known to be able to resolve more DOAs than the number of sensors, when sources are uncorrelated. It will be demonstrated that this continues to be true even with one-bit quantization.

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Additional Information:© 2017 IEEE. This work was supported in parts by the ONR grant N00014-15-1-2118, the California Institute of Technology, and the Taiwan/Caltech Ministry of Education Fellowship.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-15-1-2118
Ministry of Education (Taipei)UNSPECIFIED
Subject Keywords:One-bit quantization, sparse arrays, nested arrays, coprime arrays, DOA estimation
Record Number:CaltechAUTHORS:20170621-155418409
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Official Citation:C. L. Liu and P. P. Vaidyanathan, "One-bit sparse array DOA estimation," 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 2017, pp. 3126-3130. doi: 10.1109/ICASSP.2017.7952732
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:78438
Deposited By: Kristin Buxton
Deposited On:22 Jun 2017 01:34
Last Modified:03 Oct 2019 18:08

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