Low-Complexity DOA Estimation Method Based on Joined Coprime Array
DOI:
https://doi.org/10.26636/jtit.2024.1.1350Keywords:
DOA estimation, eigenvalues, joined coprime array, low complexityAbstract
In this article, the elimination of ambiguity of a joined coprime array has been examined, with a focus on such of its properties as large aperture size and complete degree of freedom (DOF). The existing methods suffer from a high degree of computation complexity due to the loss constant characteristic and high peak searching. Therefore, in this paper, a DOA estimation method for a jointed coprime array, characterized by a low degree of computational complexity, is proposed. The variance of the diagonal eigenvalues of the estimated covariance matrix is designed to enhance the accuracy of the covariance matrix of the joined coprime array. Then, the Capon beamforming methods is employed for peak searching. The simulation shows that the proposed method accomplishes accurate estimation with shorter computation times and fewer operations compared to other DOA estimation methods.
Downloads
References
H.L. Van Trees, Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory, Wiley & Sons, 1433 p., 2002.
View in Google Scholar
F.A. Salman and B.M. Sabbar, "Coprime Array Parameters Optimization for DOA Estimation", Iraqi Journal of Information and Communications Technology (IJICT), vol. 4, no. 2, 2021.
View in Google Scholar
H. Krim and M. Viberg, "Two Decades of Array Signal Processing Research: The Parametric Approach", IEEE Signal Processing Magazine, vol. 13, no. 4, pp. 67-94, 1996.
View in Google Scholar
V. Kumar and S.K. Dhull, "Genetic Algorithm Based Optimization of Uniform Circular Array", Engineering Technology & Applied Science Research, vol. 10, no. 6, pp. 6403-6409, 2020.
View in Google Scholar
T.B. Lavate, V.K. Kokate, and A.M. Sapkal, "Performance Analysis of MUSIC and ESPRIT DOA Estimation Algorithms for Adaptive Array Smart Antenna in Mobile Communication", in: 2nd International Conference on Computer and Network Technology (ICCNT), Bangkok, Thailand, 2010.
View in Google Scholar
J. Capon, "High-Resolution Frequency-Wavenumber Spectrum Analysis", Proceedings of the IEEE, vol. 57, no. 8, pp. 1408-1418, 1969.
View in Google Scholar
R.O. Schmidt, "Multiple Emitter Location and Signal Parameter Estimation", IEEE Transactions on Antennas and Propagation, vol. 34, no. 3, pp. 276-280, 1986.
View in Google Scholar
A.J. Barabell, "Improving the Resolution Performance of Eigen-structure-Based Direction-Finding Algorithms", in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, Boston, USA, 1983.
View in Google Scholar
R. Roy and T. Kailath, "ESPRIT - Estimation of Signal Parameters via Rotational Invariance Techniques", IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, no. 7, pp. 984-995, 1989.
View in Google Scholar
P.P. Vaidyanathan and P. Pal, "Sparse Sensing with Co-prime Samplers and Arrays", IEEE Transactions on Signal Processing, vol. 59, no. 2, pp. 573-586, 2011.
View in Google Scholar
F.A. Salman and B.M. Sabbar, "Estimation of Coherent Signal on Modified Coprime Array", in: 16th International Middle Eastern Simulation and Modelling Conference (MESM), pp. 65-70, 2020.
View in Google Scholar
S. Qin, Y.D. Zhang, and M.G. Amin, "Generalized Coprime Array Configurations for Direction-of-arrival Estimation", IEEE Transactions on Signal Processing, vol. 63, no. 6, pp. 1377-1390, 2015.
View in Google Scholar
W. Zheng, X. Zhang, P. Gong, and H. Zhai, "DOA Estimation for Coprime Linear Arrays: An Ambiguity-free Method Involving full DOFs", IEEE Communications Letters, vol. 22, no. 3, pp. 562-565, 2018.
View in Google Scholar
C.L. Liu and P.P. Vaidyanathan, "Remarks on the Spatial Smoothing Step in Coarray MUSIC", IEEE Signal Processing Letters, vol. 22, no. 9, pp. 1438-1442, 2015.
View in Google Scholar
X. Yang, Y. Wang, P. Charge, and Y. Ding, "An Efficient DOA Estimation Method for Co-prime Linear Arrays", IEEE Access, vol. 7, pp. 90874-90881, 2019.
View in Google Scholar
F.A. Salman and B.M. Sabbar, "DOA Estimation Exploiting Moving Platform of Unfolded Coprime Array", International Journal of Intelligent Engineering and Systems, vol. 15, no. 2, pp. 532-542, 2022.
View in Google Scholar
C. Zhou, Z. Shi, Y. Gu, and X. Shen, "DECOM: DOA Estimation with Combined MUSIC for Coprime Array", in: 2013 International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, 2013.
View in Google Scholar
F. Sun, P. Lan, and B. Gao, "Partial Spectral Search-based DOA Estimation Method for Co-prime Linear Arrays", Electronics Letters, vol. 51, no. 4, pp. 2053-2055, 2015.
View in Google Scholar
X. Yang, Y. Wang, and P. Chargé, "Modified DOA Estimation with an Unfolded Co-Prime Linear Array", IEEE Communications Letters, vol. 23, no. 5, pp. 859-862, 2019.
View in Google Scholar
T.J. Shan, M. Wax, and T. Kailath, "On Spatial Smoothing for Direction-of-Arrival Estimation of Coherent Signals", IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 33, no. 4, pp. 806-811, 1985.
View in Google Scholar
F. Sun, B. Gao, L. Chen, and P. Lan, "A Low-complexity ESPRIT-based DOA Estimation Method for Co-prime Linear Arrays", Sensors, vol. 16, no. 9, 2016.
View in Google Scholar
B.M. Sabbar and Y.M. Tabra, "Initial Phase Effect on DOA Estimation in MMIMO using Separated Steering Matrix", Telkomnika, vol. 16, no. 3, pp. 946-954, 2018.
View in Google Scholar
P. Stoica and A. Nehorai, "Performance Study of Conditional and Unconditional Direction‐of‐arrival Estimation", IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 38, no. 10, pp. 1783-1795, 1990.
View in Google Scholar
C.L. Liu and P.P. Vaidyanathan, "New Cramer‐Rao Bound Expressions for Coprime and Other Sparse Arrays", in: IEEE Sensor Array Multichannel Signal Processing Workshop, Rio de Janeiro, Brazil, 2016.
View in Google Scholar
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Fatimah Salman, Bayan Sabbar
This work is licensed under a Creative Commons Attribution 4.0 International License.
