Affiliation:
1. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Abstract
The Direction of Arrival (DOA) estimation of coherent signals in co-prime arrays has become a popular research topic. However, traditional spatial smoothing and subspace algorithms fail to perform well under low signal-to-noise ratio (SNR) and small snapshots. To address this issue, we have introduced an Enhanced Spatial Smoothing (ESS) algorithm that utilizes a space-time correlation matrix for de-noising and decoherence. Finally, an Estimating Signal Parameter via Rotational Invariance Techniques (ESPRIT) algorithm is used for DOA estimation. In comparison to other decoherence methods, when the SNR is −8 dB and the number of snapshots is 150, the mean square error (MSE) of the proposed algorithm approaches the Cramér–Rao bound (CRB), the probability of resolution (PoR) can reach over 88%, and, when the angular resolution is greater than 4°, the estimation accuracy can reach over 90%.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hubei Province
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference30 articles.
1. Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays;Wagner;IEEE Trans. Signal Process.,2021
2. Advanced Signal Processing Methods for Ground-Penetrating Radar: Applications to civil engineering;Sun;IEEE Signal Process. Mag.,2019
3. Generalized spatial smoothing in bistatic EMVS-MIMO radar;Wen;Signal Process.,2021
4. Bai, Y., Zhang, H., Zhou, M., and Yang, L. (2022, January 25–27). DOA Estimation Using Shipborne HFSWR Based on Virtual Synthetic Array. Proceedings of the 2022 41st Chinese Control Conference (CCC), Hefei, China.
5. Gridless One-Bit Direction-of-Arrival Estimation Via Atomic Norm Denoising;Wei;IEEE Commun. Lett.,2020