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

Author Affiliations +

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.

Citation Download Citation

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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