A novel reactance domain MUSIC algorithm for direction of arrival estimation using 13-element ESPAR antennas

Xin Wang, Bong-Jun Kim, H. Ryu
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引用次数: 2

Abstract

Electronically steerable parasitic array radiator (ESPAR) antenna is well known for its low-power consumption, small-size antenna. In this paper, a novel fourth-order MUSIC algorithm using a 13-element ESPAR antennas for direction of arrival (DOA) estimation is proposed based on processing the covariance matrix of the array output signals. Unlike the conventional MUSIC algorithm which is an effective method for DOA estimation, the main motivation of the fourth-order MUSIC algorithm is that it is insensitive to additive Gaussian noise regardless of whether it is white or colored so it can improve the precision of the DOA estimation. By comparing with the conventional algorithm, our proposed algorithm can obtain more than 45dB gain under SNR=10dB, which can obviously show an outstanding performance improvement. Finally, computer simulation results show that the novel algorithm can resolve up to one impinging signal with less than 0.15° under SNR=0dB and provide an estimation with less than 0.6° under SNR=5dB for two impinging signals coming from different angles.
一种新的13元ESPAR天线到达方向估计的电抗域MUSIC算法
电子操纵寄生阵列辐射器(ESPAR)天线以其低功耗、小尺寸天线而闻名。本文在处理阵列输出信号协方差矩阵的基础上,提出了一种利用13元ESPAR天线进行到达方向估计的四阶MUSIC算法。传统的MUSIC算法是一种有效的DOA估计方法,而四阶MUSIC算法的主要动机是它对加性高斯噪声不敏感,无论它是白色的还是彩色的,都可以提高DOA估计的精度。与传统算法相比,本文算法在信噪比为10dB的情况下,可以获得大于45dB的增益,性能提升明显。最后,计算机仿真结果表明,在信噪比为0dB的情况下,该算法最多可以分辨出一个小于0.15°的冲击信号,在信噪比为5dB的情况下,对来自不同角度的两个冲击信号提供小于0.6°的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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