Ambiguity resolving in parameter estimation of a single near-field source with uniform circular array via clustering

Xin Chen; Xuefeng Zhang; Zhen Liu; Xizhang Wei

doi:10.1117/12.2244847

29 August 2016 Ambiguity resolving in parameter estimation of a single near-field source with uniform circular array via clustering

Xin Chen, Xuefeng Zhang, Zhen Liu, Xizhang Wei

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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003361 (2016) https://doi.org/10.1117/12.2244847
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

In order to resolve the phase ambiguity in parameter estimation of a high frequency source with uniform circular array (UCA), this paper presents an algorithm via clustering to obtain the source’s 3-D parameters (azimuth angle, elevation angle, and range) unambiguously. By computing the phase differences between centro-symmetric sensors and employing some mathematics, angle parameters of the source can be decoupled and be estimated. Then, a plural matrix is developed based on ambiguity search, where each column includes a plural constituted by real angle parameters. Further, the unambiguous angle parameters can be obtained by the means of clustering based on range. A one dimension MUSIC method is applied to estimate range parameter after the angle parameters have been obtained. Numerical examples are also presented to demonstrate the performance of the proposed algorithm.

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Xin Chen, Xuefeng Zhang, Zhen Liu, and Xizhang Wei "Ambiguity resolving in parameter estimation of a single near-field source with uniform circular array via clustering", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003361 (29 August 2016); https://doi.org/10.1117/12.2244847

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KEYWORDS

Near field

Sensors

Mathematics

Signal to noise ratio

3D image processing

Algorithms

Computer simulations

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