基于MUSIC、MVDR和波束扫描算法的窄带信号高分辨率DOA估计

Meenal Job, Ram Suchit Yadav
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摘要

本文对到达方向(DOA)估计技术进行了深入的了解。在这里,我们考虑了三种DOA算法,即波束扫描,最小方差无失真响应(MVDR),多信号分类(MUSIC),它们用于估计均匀线性阵列(ULA)(10个各向同性天线)的宽侧角和均匀矩形阵列(URA) (16 × 16)的方位角和仰角。考虑了窄带信号对阵列的冲击,进行了仿真。系统工作频率为300MHz。从输出信号的峰值估计DOA。对于不同的到达信号,波束扫描技术形成一个常规波束,在目标方向上进行扫描,得到空间频谱。当信号来自比波束宽度更近的方向时,波束扫描无法解析信号。在指定区域上检查MVDR波束。它具有更小的带宽,因此具有更高的分辨率。MVDR可以正确估计信号的doa。在这种情况下,MUSIC对位置误差很敏感,可以提供准确的DOA估计和更好的空间分辨率。在二维空间中进行了URA方位角和仰角估计的研究。它使用与一维相同的算法。仿真在Matrix laboratory (MATLAB) R2020 Version中进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Resolution DOA Estimation of Narrowband Signal for MUSIC, MVDR and Beamscan Algorithm
This paper presents the in-depth understanding for the direction of arrival (DOA) estimate technique. Here, we have considered three DOA algorithm, i.e., Beamscan, Minimum Variance Distortionless Response (MVDR), Multiple Signal Classification (MUSIC), which are used to estimate broadside angle with Uniform Linear Array (ULA) (10 isotropic antennas) and azimuth and elevation angles with Uniform Rectangular Array (URA) (16x16). Simulation is carried out by considering narrowband signal impinge on the array. Operating frequency of the system is 300MHz. DOA is estimated from the peaks of output signal. For different arriving signal, Beamscan technique forms a conventional beam and scan it over direction of interest to get the spatial spectrum. When signals come from directions that are closer than the beamwidth, then beam scanning is unable to resolve the signals. MVDR beam is examine over the specified region. It has smaller band-widths so has higher resolution. MVDR correctly estimates the DOAs of the signal. It is sensitive to position error so under such situation MUSIC provides accurate DOA estimation and better spatial resolution. Study is carried out in 2-D for the estimation of azimuth and elevation angle of URA. It uses the same algorithm as in 1-D. Simulation is carried out in Matrix laboratory (MATLAB) R2020 Version.
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