A Direction of Arrival Estimation Method for Wideband LFM Signals Based on RWT and ESPRIT Algorithm

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Abstract:

In this paper, we proposed a new algorithm to estimate the direction of arrival (DOA) for wideband linear frequency modulation (LFM) signals, using Radon-Wigner transform (RWT) and estimation of signal parameter via rotational invariance techniques (ESPRIT). To eliminate the cross-terms, we first utilize the RWT with its excellent time-frequency concentration performance. Then, through peak searching, the number of targets, the initial interference and the frequency modulation slope are estimated. On the this base, the array signals are reconstructed. Finally, we adopt the ESPRIT algorithm to estimate the DOA of the array signals. The simulation results show that the proposed algorithm can estimate the DOA of non-stationary signals with high precision.

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Advanced Materials Research (Volumes 1044-1045)

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976-981

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Belouchrani A, Amin M G. Time-frequency MUSIC[J]. IEEE Signal Processing Letters, 1999, 6(5): 109-110.

DOI: 10.1109/97.755429

Google Scholar

[2] Gershman B, Amin M G. Wideband direction of arrival estimation of multiple chirp signals using spatial time-frequency distribution[J]. IEEE Signal Processing Letters, 2000, 7(6): 152-155.

DOI: 10.1109/97.844636

Google Scholar

[3] Zhang Y, Mu W, Amin M G. Subspace analysis of spatial time-frequency distribution matrices [J]. IEEE Trans. on SP, 2001, 49(4): 747-759.

DOI: 10.1109/78.912919

Google Scholar

[4] TAO Ran, ZHOU Yunsong. A novel method for the direction of arrival estimation of wideband linear frequency modulated sources based on fractional Fourier transform[J]. Transactions of Beijing Institute of Technology, 2005, 25(10): 895-899.

Google Scholar

[5] ZHU Chunhu, MU Xiaomin. Performance Analysis on Three Methods for Chirp Signal Detection[J]. Radar Science and Technology, 2008, 6(1): 39-43.

Google Scholar

[6] SONG Xuesong, YAO Guijin, XU Hui. DOA Estimation Improved Algorithm for ULA Based on ESPRIT Algorithm[J]. Journal of Jilin University(Information Science Edition), 2013, 31(4): 365-369.

Google Scholar

[7] ZHANG Xianda, BAO Zheng. Non-Stationary Signal Analysis and Processing[M]. Beijing: National Defence Industry Press, 1998: 177-180.

Google Scholar

[8] ROY R, KAILATH T. ESPRIT-Estimation of Signal Parameters via Rotational Invariance Techniques[J]. IEEE Trans on ASSP, 1989, 37( 7) : 984-995.

DOI: 10.1109/29.32276

Google Scholar

[9] YANG Tao, YU Xiaohong, GAN Lu. New 2-D Unitary ESPRIT algorithm for DOA estimation[J]. Computer Engineering and Applications, 2012, 48(15): 123-128.

Google Scholar

[10] WANG Yongliang, CHEN Hui, PENG Yingning, et al. Theory of Spatial Spectrum Estimation and Algorithm[M]. Beijing: Tsinghua University Press, 2004: 185-193.

Google Scholar