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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2018-01-12
DOA Estimation of Quasi-Stationary Signals Using a Partly-Calibrated Uniform Linear Array with Fewer Sensors Than Sources
By
Kai-Chieh Hsu,

    Dr. Kai-Chieh Hsu

    Department of Electrical Engineering

    National Taiwan University

    Taiwan

    Homepage

Jean-Fu Kiang

    Prof. Jean-Fu Kiang

    Department of Electrical Engineering

    National Taiwan University

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 63, 185-193, 2018
doi:10.2528/PIERM17080306 | Google Scholar

Abstract
A two-step method is proposed to estimate the direction-of-arrivals (DOAs) of quasi-stationary source signals, with a partlycalibrated uniform linear array (PC-ULA). The special structure of Toeplitz matrix is utilized to estimate the sensors' uncertainties. Then, a Khatri-Rao (KR) based multiple signal classification (MUSIC) algorithm is proposed to estimate the DOAs of source signals. Simulation results show that the proposed method renders lower root-mean-square-error (RMSE) than existing KR-based ESPRIT algorithms, especially under low signal-to-noise-ratio (SNR) and small angle separation between DOAs. It is also shown that the proposed method increases the degree-of-freedom (DOF) by one, as compared to the counterpart ESPRIT methods.
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Citation
Kai-Chieh Hsu, and Jean-Fu Kiang, "DOA Estimation of Quasi-Stationary Signals Using a Partly-Calibrated Uniform Linear Array with Fewer Sensors Than Sources," Progress In Electromagnetics Research M, Vol. 63, 185-193, 2018.
doi:10.2528/PIERM17080306
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