基于ESPRIT和多信号分类算法的天线阵到达方向估计

Sabah Salam Khudhair, H. Khleaf, Alaa Hamid Mohammed
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引用次数: 1

摘要

天线阵在测向、雷达、移动通信等领域发挥着重要作用。利用到达方向(DOA)估计技术对天线单元产生的信号进行处理,可以提供准确的辐射源位置信息。估计DOA的方法很多;然而,我们选择了高角分辨率子空间的最佳方法,如多信号分类(MUSIC)和通过理性不变性技术(ESPRIT)算法估计信号参数。开发了这两种算法,并使用MATLAB对其DOA估计性能进行了数值评估,同时对阵列参数包括快照个数、信噪比(SNR)、阵列元素个数和阵列元素间距进行了评估和比较。仿真比较了两种算法在20°和60°方向下的性能。结果表明,在100个阵列元素的情况下,MUSIC算法在两个DOAs的估计精度分别比ESPRIT算法提高了12.78 dB和7.78 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Direction of Arrival for Antenna Array Based on ESPRIT and Multiple Signal Classification Algorithms
Antenna array plays a great role in many fields such as direction finding, radar, and mobile communication. The manipulation of signals induced by antenna elements using Direction of Arrival (DOA) estimation techniques will provide accurate location information of the radiating sources. Many methods were used to estimate DOA; however, we chose the best for high angular resolution subspace such as Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rational Invariance Techniques (ESPRIT) algorithms. Both algorithms have been developed and their DOA estimation performance numerically evaluated using MATLAB with array parameters including the number of snapshots, Signal-to-Noise ratio (SNR), number of array elements, and array element spacing have also been evaluated and compared. The simulation compares the performance between both algorithms at DOAs of 20° and 60°. The result shows that the MUSIC algorithm obtained better estimation accuracy at both DOAs compared to the ESPRIT algorithm by 12.78 dB and 7.78 dB respectively using 100 array elements.
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