volume | PIER Journals

2018-01-12

DOA Estimation of Quasi-Stationary Signals Using a Partly-Calibrated Uniform Linear Array with Fewer Sensors Than Sources

Kai-Chieh Hsu,

Dr. Kai-Chieh Hsu

Department of Electrical Engineering

National Taiwan University

Taiwan

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Jean-Fu Kiang

Prof. Jean-Fu Kiang

Department of Electrical Engineering

National Taiwan University

China

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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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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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