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2D DOA and Frequency Estimation Method with One Vector-Sensor and Two Pressure Sensors Based on ESPRIT and Signal Power

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Abstract

We use one vector and two pressure sensors to form a sparse large aperture L-shape array for high performance two-dimensional (2D) direction of arrival (DOA) and frequency estimation. Because the number of sensors is small and there is only one vector sensor in the presented array, thus, the installation of sensors in the array is simpler and installation error is smaller, than the conventional array. Meanwhile, a high performance 2D DOA and frequency estimation method is presented. Firstly, utilizing single vector sensor and based on the ESPRIT, a group coarse 2D DOA and frequency parameters are obtained. Secondly, to restrain space noise or interference, a matrix filter is utilized to process the covariance matrix which comes from sensor array, so as to form a new covariance matrix which possesses high signal to noise ratio. Thirdly, utilizing the new covariance matrix and based on the ESPRIT again, accurate but ambiguity angles estimates are obtained. Fourthly, one signal power estimator and one optimization method are presented to solve the angle ambiguity and frequency ambiguity problems, respectively. The proposed method gains a high performance 2D DOA and frequency estimation results. Numerical simulations are performed to verify the feasibility of the proposed method.

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Acknowledgements

This work was supported in part by the National Natural Science Foundations of China under Grant Nos. 61501319, 61505140, 51275349 and 51575387, in part by the National Marine economy innovation development area demonstration Project No. cxsf2014-2.

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  1. The State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China

    Jia-jia Jiang, Fa-jie Duan & Xian-quan Wang

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  1. Jia-jia Jiang
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  2. Fa-jie Duan
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  3. Xian-quan Wang
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Correspondence to Jia-jia Jiang.

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Jiang, Jj., Duan, Fj. & Wang, Xq. 2D DOA and Frequency Estimation Method with One Vector-Sensor and Two Pressure Sensors Based on ESPRIT and Signal Power. Wireless Pers Commun 97, 5385–5399 (2017). https://doi.org/10.1007/s11277-017-4785-z

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