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2017-01-27

2-D DOA Estimation of LFM Signals for UCA Based on Time-Frequency Multiple Invariance ESPRIT

By Kaibo Cui, Weiwei Wu, Jingjian Huang, Xi Chen, and Nai-Chang Yuan
Progress In Electromagnetics Research M, Vol. 53, 153-165, 2017
doi:10.2528/PIERM16112208

Abstract

In order to improve the angle measurement precision with a low computational complexity, a 2-D direction of arrival (DOA) estimation algorithm UCA-TF-MI-ESPRIT is proposed in this paper. This algorithm is based on the mode space algorithm and the time-frequency (TF) multiple invariance rotational invariance technique (MI-ESPRIT). Firstly, a uniform circular array (UCA) is equivalent to a virtual uniform linear array (ULA) by utilizing mode-space algorithm. Then, the smoothed pseudo Wigner-Ville distribution (SPWVD) of the ULA output is calculated. The spatial time-frequency matrix can be obtained through the average of multiple time-frequency points in the time-frequency plane, and the signal subspace can also be obtained through using eigen decomposition. Then a simple and effective subarray dividing approach is proposed, and the multiple rotational invariant equation of the array is obtained by using the Bessel function. Finally, the closed-form solution is obtained using multi-least-squares (MLS) criterion so that the 2-D DOA estimation of LFM signals in UCA is completed. The simulation results verify the effectiveness of the algorithm proposed by this paper.

Citation


Kaibo Cui, Weiwei Wu, Jingjian Huang, Xi Chen, and Nai-Chang Yuan, "2-D DOA Estimation of LFM Signals for UCA Based on Time-Frequency Multiple Invariance ESPRIT," Progress In Electromagnetics Research M, Vol. 53, 153-165, 2017.
doi:10.2528/PIERM16112208
http://jpier.org/PIERM/pier.php?paper=16112208

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