Abstract
The spatial smoothing technique and its variants can resolve the coherent signals combined with the subspace-based methods and have a relatively low computational complexity. However, the existing spatial smoothing methods suffer from the low noise suppression ability, which further results in performance degradation of the DOA estimation for the low SNR regime. To overcome these problems, we propose a new spatial smoothing method to improve the DOA estimation performance of the coherent signals in the low SNR. Firstly, the whole array is split into several overlapped subarrays, and a full set of cross-covariance matrices are then computed via each individual subarray and its corresponding non-overlapping complementary subarray. This processing can enhance the noise suppression ability and further improve the SNR. Then, we employ the complete information of the cross-covariance matrices to achieve better estimates of the reconstructed covariance matrix, which will enhance the eigenvalue ratio of the signal-to-noise at low SNRs. Finally, the estimated DOAs can be obtained by combining with the subspace-based methods. Simulation results verify the superiority of the proposed method for the low SNRs.
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Data Availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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BQ: Conceptualization, Methodology, Software Data curation, Writing—Original draft, Writing—Review and Editing. LX: Methodology, Writing—Review and Editing. XL: Conceptualization, Methodology, Writing—Review and Editing.
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We would like to submit the enclosed manuscript entitled “An Improved Spatial Smoothing Technique Based on Cross-covariance for Coherent Signals DOA Estimation”, which we wish to be considered for publication in “Journal of Electrical Engineering & Technology”. No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.
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Qi, B., Xu, L. & Liu, X. An Improved Spatial Smoothing Technique Based on Cross-covariance for Coherent Signals DOA Estimation. J. Electr. Eng. Technol. (2024). https://doi.org/10.1007/s42835-024-01861-4
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DOI: https://doi.org/10.1007/s42835-024-01861-4