An Efficient DOA Estimation Method for Co-Prime Linear Arrays

Direction-of-arrival (DOA) estimation with a co-prime linear array, composed of two uniform linear arrays with inter-element spacing larger than half-wavelength of incoming signals, has been investigated a lot thanks to its high-resolution performance. For better computational efficiency, one class of methods treat the co-prime linear array as two sparse uniform linear subarrays. From each of them, high-precision but ambiguous DOA estimation is obtained, and the ambiguities are eliminated according to the co-prime property. However, the existing methods of this kind suffer from the insufficient reliability and high complexity. In this paper, the potential problems associated with the DOA estimation with two co-prime subarrays are discussed, and a reliable and efficient DOA estimation method is proposed. For each subarray, the true DOAs are treated as their equivalent angles and the pair matching of them is accomplished by exploring the cross-correlations between the equivalent signals associated with the equivalent angles. Compared with other existing methods, the proposed method is able to achieve a better estimation performance in all situations, in terms of accuracy and complexity.

[1]  Xiaoping Li,et al.  Robust Generalized Chinese-Remainder- Theorem-Based DOA Estimation for a Coprime Array , 2018, IEEE Access.

[2]  Jun Tang,et al.  Improved DOA estimation algorithm for co-prime linear arrays using root-MUSIC algorithm , 2017 .

[3]  Xuemin Shen,et al.  DECOM: DOA estimation with combined MUSIC for coprime array , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[4]  Shuai Li,et al.  A Fast and Robust DOA Estimation Method Based on JSVD for Co-Prime Array , 2018, IEEE Access.

[5]  Yide Wang,et al.  Polynomial root finding technique for joint DOA DOD estimation in bistatic MIMO radar , 2010, Signal Process..

[6]  Wang Zheng,et al.  DOA Estimation for Coprime Linear Arrays: An Ambiguity-Free Method Involving Full DOFs , 2018, IEEE Communications Letters.

[7]  Yimin Zhang,et al.  Generalized Coprime Array Configurations for Direction-of-Arrival Estimation , 2015, IEEE Transactions on Signal Processing.

[8]  P. P. Vaidyanathan,et al.  Remarks on the Spatial Smoothing Step in Coarray MUSIC , 2015, IEEE Signal Processing Letters.

[9]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[10]  Bin Gao,et al.  A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays , 2016, Sensors.

[11]  Peng Lan,et al.  Partial spectral search-based DOA estimation method for co-prime linear arrays , 2015 .

[12]  Mats Viberg,et al.  ecades of Array Signal Processin Research , 2010 .

[13]  Bin Liao,et al.  Direction Finding in MIMO Radar With Unknown Mutual Coupling , 2017, IEEE Access.

[14]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..

[15]  Xiaoyi Pan,et al.  Enhance Degrees of Freedom for Coprime Array Using OptSpace Algorithm , 2019, IEEE Access.

[16]  P. P. Vaidyanathan,et al.  Sparse Sensing With Co-Prime Samplers and Arrays , 2011, IEEE Transactions on Signal Processing.

[17]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..