Performance Analysis of Interferometer Direction of Arrival Estimation under Frequency Mismatch of Array Manifold: DOA of Frequency Hopping Signal

Ko, Chan-Bin; Lee, Joon-Ho

doi:10.3390/app10072331

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…However, the DOA estimation problem is usually underdetermined, and a stable solution can be obtained by the regularization technique. The 1 -norm regularization has gradually become a hot spot because it can reduce the computational amount of sparse recovery and assume the role of using its sparse promotion characteristics to obtain high resolution [22][23][24][25][26]. The LASSO proposed by Tibshirani [27] can provide high-resolution DOA maps even in the presence of coherent sources or single snapshot data [28].…”

Section: Introductionmentioning

confidence: 99%

A 2D-DOA Sparse Estimation Method with Total Variation Regularization for Spatially Extended Sources

Liu,

Liu

et al. 2023

Applied Sciences

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In this paper, a novel two-dimensional direction of arrival (2D-DOA) estimation method with total variation regularization is proposed to deal with the problem of sparse DOA estimation for spatially extended sources. In a general sparse framework, the sparse 2D-DOA estimation problem is formulated with the regularization of extended source characteristics including spatial position grouping, acoustic signal block sparse, and correlation features. An extended sources acoustic model, two-dimensional array manifold and its complete representation, total variation regularization penalty term, and the regularization equation are built, and are utilized to seek the solutions where the non-zero coefficients are grouped together with optimum sparseness. A total variation sparse 2D-DOA estimation model is constructed by combining total variation regularization with LASSO. The model can be easily solved by the convex optimization algorithm, and the solving process can promote the sparsity of the solution on the spatial derivatives and the solution itself. The theoretical analysis results show that the steps of decorrelation processing and angle matching of traditional 2D-DOA estimation methods could be avoided when adopting the proposed method. The proposed method has better robustness to noise, better sparsity, and faster estimation speed with higher resolution than traditional methods. It is promising to provide a coherent sources sparse representation of a non-strictly sparse field.

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Section: Introductionmentioning

confidence: 99%

A 2D-DOA Sparse Estimation Method with Total Variation Regularization for Spatially Extended Sources

Liu,

Liu

et al. 2023

Applied Sciences

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CRB-based comparative study of array signal processing direction finding methods supported with SDR platform implementation

Elkasrawi,

Abdelaziz,

AbouBakr

et al. 2023

J. Phys.: Conf. Ser.

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Radio Direction-Finding (DF) is an extremely important process in numerous commercial and military applications. Array signal processing-based DF methods have been developed to improve estimation performance in recent applications that require higher resolution and accuracy. Practically, angle of arrival (AOA) estimation is challenging due to various intrinsic and extrinsic parameters that affect the results. Therefore, clarifying these parameters and researching their impact on various DF methods are considered important research topics. The Cramer-Rao Bound (CRB) for estimating AOA is calculated based on a model of a linear antenna array system. This bound identify the factors that significantly impact the estimation performance. The current study conducts a comparative analysis of the most widely used array-signal-processing-based direction-finding (DF) methods under different conditions of the CRB parameters. According to the simulation results, Multiple Signal Classification (MUSIC) AOA estimator provides more accurate and stable results. Accordingly, it is chosen for implementation using a prototype testbed based on Software Defined Radio (SDR) technology using National Instruments Universal Software Radio Peripheral (NI-USRP) platform version 2930. Experimental outcomes were tested at various AOA values. The appendix includes the complete derivation for the CRB relation applied on the system model.

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A Frequency Domain Direction of Arrival Estimation Algorithm for UAV Remote-control Signal

Zhu

Hayashi

et al. 2021

2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)

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Performance Analysis of Interferometer Direction of Arrival Estimation under Frequency Mismatch of Array Manifold: DOA of Frequency Hopping Signal

Cited by 3 publications

References 27 publications

A 2D-DOA Sparse Estimation Method with Total Variation Regularization for Spatially Extended Sources

A 2D-DOA Sparse Estimation Method with Total Variation Regularization for Spatially Extended Sources

CRB-based comparative study of array signal processing direction finding methods supported with SDR platform implementation

A Frequency Domain Direction of Arrival Estimation Algorithm for UAV Remote-control Signal

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