基于压缩传感的稀疏 L 形阵列和增益/相位不确定性的离网 2-D DOA 估算

IF 0.7 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Di Yao, Xiaochuan Wu, Qiushi Chen
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引用次数: 0

摘要

在这封信函中,我们提出了一种新的稀疏l形阵列算法,该算法使用压缩感知理论解决增益/相位不确定性和离网到达方向估计。首先,将稀疏阵列接收信号构造为变量误差模型;在此基础上,提出了一种基于改进贪婪算法的离网信号重构和增益/相位不确定性估计的改进正交匹配追踪-总最小二乘(IOMP-TLS)算法。最后,仿真结果表明,本文提出的算法在估计性能上优于许多其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Compressed Sensing-Based Off-Grid 2-D DOA Estimation for Sparse L-Shaped Array and Gain/Phase Uncertainties

Compressed Sensing-Based Off-Grid 2-D DOA Estimation for Sparse L-Shaped Array and Gain/Phase Uncertainties

In this letter, we propose a novel algorithm for sparse L-shaped array that addresses gain/phase uncertainties and off-grid direction of arrival estimation using compressed sensing theory. Firstly, the receiving signal of the sparse array is structured into an errors in variables model. Then, a novel algorithm termed Improved Orthogonal Matching Pursuit-Total Least Squares (IOMP-TLS) is proposed for off-grid signal reconstruction and gain/phase uncertainties estimation based on an enhanced greedy algorithm. Finally, the simulations show that our proposed algorithm is superior to many other methods in estimation performance.

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来源期刊
Electronics Letters
Electronics Letters 工程技术-工程:电子与电气
CiteScore
2.70
自引率
0.00%
发文量
268
审稿时长
3.6 months
期刊介绍: Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews. Scope As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below. Antennas and Propagation Biomedical and Bioinspired Technologies, Signal Processing and Applications Control Engineering Electromagnetism: Theory, Materials and Devices Electronic Circuits and Systems Image, Video and Vision Processing and Applications Information, Computing and Communications Instrumentation and Measurement Microwave Technology Optical Communications Photonics and Opto-Electronics Power Electronics, Energy and Sustainability Radar, Sonar and Navigation Semiconductor Technology Signal Processing MIMO
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