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Passive Localization of Near-Field Sources Based on Overlapped Subarrays

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Abstract

In this paper, a new algorithm for near-field source localization is proposed based on a uniform linear array (ULA). First, the direction-of-arrivals (DOAs) of near-field sources at two symmetric phase points are obtained by using two overlapped subarrays of the ULA and second-order statistics-based method. Next, the DOA of each source at the phase origin is determined by exploiting the geometric relationships between the source and two phase points. Finally, with the DOA estimates, the ranges of near-field sources can be estimated by one-dimensional search. The proposed method involves neither two-dimensional search nor higher-order cumulant calculations and avoids parameter pair-matching process. Moreover, it can achieve higher accuracy than the existing efficient method. Numerical simulations are presented to verify the performance of the proposed method.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China under Grant 61701081, by the Sichuan Applied Basic Research Program under Grant 2019YJ0191, by the China Postdoctoral Science Foundation under Grant 2018M643449, by the Key Project of Sichuan Education Department of China under Grant 18ZA0221, by the Natural Science Foundation of Guangdong Province under Grant 2018A0303130064, and by the Fundamental Research Funds for the Central Universities of China under Grant 2672018ZYGX2018J003.

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Sun, J., Hao, C. & Zheng, Z. Passive Localization of Near-Field Sources Based on Overlapped Subarrays. Circuits Syst Signal Process 39, 502–512 (2020). https://doi.org/10.1007/s00034-019-01188-w

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