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A Void Reference Sensor-Multiple Signal Classification Algorithm for More Accurate Direction of Arrival Estimation of Low Altitude Target

机译:一种低空目标的更精确方向估计的空参考传感器-多信号分类算法

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摘要

There exists MUSIC (multiple signal classification) algorithm for direction of arrival (DOA) estimation. This paper is to present a different MUSIC algorithm for more accurate estimation of low altitude target. The possibility of better performance is analyzed using a void reference sensor (VRS) in MUSIC algorithm. The following two topics are discussed: 1) the time delay formula and VRS-MUSIC algorithm with VRS located on the minus of z-axes; 2) the DOA estimation results of VRS-MUSIC and MUSIC algorithms. The simulation results show VRS-MUSIC algorithm has three advantages compared with MUSIC: 1 ) When the signal to noise ratio (SNR) is more than - 5 dB, the direction estimation error is 1/2 as much as that obtained by MUSIC; 2) The side lobe is more lower and the stability is better; 3) The size of array that the algorithm requires is smaller.
机译:存在用于到达方向(DOA)估计的MUSIC(多个信号分类)算法。本文将提出一种不同的MUSIC算法,以更准确地估计低空目标。使用MUSIC算法中的空隙参考传感器(VRS)分析了性能更好的可能性。讨论了以下两个主题:1)时间延迟公式和VRS-MUSIC算法,其中VRS位于z轴的负值; 2)VRS-MUSIC和MUSIC算法的DOA估计结果。仿真结果表明,与MUSIC相比,VRS-MUSIC算法具有三个优点:1)当信噪比(SNR)大于-5 dB时,方向估计误差是MUSIC的1/2倍; 2)旁瓣越低,稳定性越好; 3)算法所需的数组大小较小。

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