Abstract
AbstractAiming at the problems of low degree of freedom, small array aperture, and phase ambiguity in traditional coprime array direction-of-arrival estimation methods, a non-circular signal DOA estimation method based on expanded coprime array MIMO radar is proposed. Firstly, this method combines the coprime array and the MIMO radar to form transmitter and receiver array. Secondly, the array is expanded using the non-circular signal characteristics to reconstruct the received signal matrix. Then the dimensionality reduction is performed. The two-dimensional spectral peak search is converted into an optimization problem, and the optimization of the two-dimensional MUSIC algorithm is reconstructed using constraints, and a cost function is constructed to solve the problem. In addition, use the power series of the noise eigenvalues to correct the noise subspace to further improve the accuracy of the algorithm. Finally, the problem of no phase ambiguity in the method in this article is derived. Simulation experiments show that the method in this article can effectively avoid phase ambiguity, greatly improve the degree of freedom, and expand the array aperture. Compared with the traditional MUSIC algorithm and the mutual prime array MUSIC algorithm, it has better resolution and DOA estimation accuracy.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. D.W. Bliss, K.W. Forsythe, Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution. In The thirty-Seventh Asilomar Conference on Signals, Systems & Computers. (IEEE, Pacific Grove, 2003), pp. 54–59.
2. F. Mendoza-Montoya, D.H. Covarrubias-Rosales, C.A. Lopez-Miranda, DOA estimation in mobile communications system using subspace tracking methods. IEEE Latin Am. Trans. 6(2), 123–129 (2008)
3. J.Y. Liu, Y.L. Lu, Y.M. Zhang, W.J. Wang, Fractional difference co-array perspective for wideband signal DOA estimation. EURASIP J. Adv. Signal Process. (2016). https://doi.org/10.1186/s13634-016-0426-z
4. P. Gupta, K. Aditya, A. Datta, Comparison of conventional and subspace based algorithms to estimate direction of arrival (DOA). In 2016 International Conference on Communication and Signal Processing (ICCSP) (IEEE, India, 2016), pp. 0251–0255.
5. N.S. John, A.G. Konstantinos, S. Katherine, On the direction of arrival (DOA) estimation for a switched-beam antenna system using neural networks. IEEE Trans. Antennas Propag. 57(5), 1399–1411 (2009)
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