基于单辅助源校正的MUSIC测向性能分析与实验验证
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1.南京信息工程大学,计算机与软件学院,南京 210044;2.国防科技大学第六十三研究所,南京 210007

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TN911.7

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Analysis and experimental verification of MUSIC direction finding based on single auxiliary source correction algorithm
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1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. The 63rd Research Institute of National University of Defense Technology, Nanjing 210007, China

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    摘要:

    实际测向系统中,由于多通道微波组件、天线阵元及连接电缆等射频部件传输特性不一致的影响,使得接收通道失配问题不可避免。存在通道失配时,天线阵列的接收数据中含有幅度和相位误差,最终导致空间谱的波达方向(Direction of Arrival,DOA)估计性能急剧下降甚至失效。本文针对这一问题,采用一种基于单辅助信源的通道校正算法,研究了该算法在通道数据预补偿和导向矢量修正的具体应用方法,并结合多信号分类算法(Multiple Signal Classification, MUSIC)进行DOA估计。从信噪比、快拍数和均方根误差等仿真参数证实了校正算法的有效性,并利用硬件平台的实测数据,验证了校正算法能够对通道失配进行有效补偿并获得较高的DOA估计性能。

    Abstract:

    In the actual direction finding system, due to the inconsistency of the transmission characteristics of the radio frequency parts such as multi-channel microwave components, antenna elements and connecting cables, the mismatch of the receiving channels is inevitable. When there is channel mismatch, the received data of the antenna array contains amplitude and phase errors, which eventually lead to a sharp decline or even failure of the estimation performance of the direction of arrival (DOA) of the spatial spectrum. Aiming at this problem, a channel correction algorithm based on a single auxiliary source is used to study the application of this algorithm in channel data pre-compensation and steering vector correction, and combines the multiple signal classification algorithm (MUSIC) for DOA estimation. The effectiveness of the correction algorithm is verified by the simulation parameters such as signal-to-noise ratio, number of snapshots and root mean square error. The measured data of the hardware platform is used to verify that the correction algorithm can effectively compensate for channel mismatch and obtain high DOA estimation performance.

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郝崇宇,施 伟,王保卫.基于单辅助源校正的MUSIC测向性能分析与实验验证[J].电子测量技术,2022,45(18):167-172

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  • 在线发布日期: 2024-03-29
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