Highly Efficient and Precise DOA Estimation Algorithm


Xiaobo Yang, Journal of Information Processing Systems Vol. 18, No. 3, pp. 293-301, Jun. 2022  

https://doi.org/10.3745/JIPS.03.0177
Keywords: DOA Estimation, Eigenvector, High-Precision, MUSIC, Parallelism
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Abstract

Direction of arrival (DOA) estimation of space signals is a basic problem in array signal processing. DOA estimation based on the multiple signal classification (MUSIC) algorithm can theoretically overcome the Rayleigh limit and achieve super resolution. However, owing to its inadequate real-time performance and accuracy in practical engineering applications, its applications are limited. To address this problem, in this study, a DOA estimation algorithm with high parallelism and precision based on an analysis of the characteristics of complex matrix eigenvalue decomposition and the coordinate rotation digital computer (CORDIC) algorithm is proposed. For parallel and single precision, floating-point numbers are used to construct an orthogonal identity matrix. Thus, the efficiency and accuracy of the algorithm are guaranteed. Furthermore, the accuracy and computation of the fixed-point algorithm, double-precision floating-point algorithm, and proposed algorithm are compared. Without increasing complexity, the proposed algorithm can achieve remarkably higher accuracy and efficiency than the fixed-point algorithm and double-precision floating-point calculations, respectively.


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Cite this article
[APA Style]
Yang, X. (2022). Highly Efficient and Precise DOA Estimation Algorithm. Journal of Information Processing Systems, 18(3), 293-301. DOI: 10.3745/JIPS.03.0177.

[IEEE Style]
X. Yang, "Highly Efficient and Precise DOA Estimation Algorithm," Journal of Information Processing Systems, vol. 18, no. 3, pp. 293-301, 2022. DOI: 10.3745/JIPS.03.0177.

[ACM Style]
Xiaobo Yang. 2022. Highly Efficient and Precise DOA Estimation Algorithm. Journal of Information Processing Systems, 18, 3, (2022), 293-301. DOI: 10.3745/JIPS.03.0177.