基于MUSIC和ESPRIT算法的DOA动态布站
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Sea-based DOA dynamic deployment based on MUSIC and ESPRIT algorithms
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    摘要:

    DOA估计是阵列信号处理领域中的一个研究重点。阐述了波达方向(DOA)估计中2种经典算法多信号分类算法(MUSIC)和旋转因子不变法(ESPRIT)。在噪声是均值为0、方差为05的高斯白噪声下进行了MUSIC算法的空间谱估计,准确地估计出3个来波信号的方向。同时,通过改变信噪比计算不同信噪比下MUSIC与ESPRIT算法估计结果的均方根误差,得出MUSIC算法与ESPRIT算法估计结果相比精度更高,但运行速度较慢。在相同信噪比下,改变阵元数,观察对两种算法均方根误差的影响,得出两者呈正相关。最后分析了在实际应用中外辐射源雷达系统常常使用两部或多部雷达布站,因此多舰艇编队的动态布站问题可以看作布站形式和平台机动的综合问题。分析了外辐射源多站系统在DOA体制下以几何精度因子表征为布站指标的探测精度,解决海基多站DOA动态布站问题。

    Abstract:

    DOA estimation is a very important research area in the field of array signal processing. In this paper, the classical MUSIC and ESPRIT algorithms in DOA estimation are briefly described. The spatial spectrum estimation of MUSIC algorithm is performed under Gaussian white noise with zero mean noise and variance of 0.5, and the directions of the three incoming wave signals are accurately estimated. At the same time, by calculating the SNR of MUSIC algorithm and ESPRIT algorithm under different signal-to-noise ratios, the error of MUSIC algorithm is smaller than the error of ESPRIT algorithm, but the running speed is slower. Under the same signal to noise ratio, the number of array elements was changed and the effect of the square error of the two algorithms was observed. Finally, it is analyzed that the external radiation source radar system often uses two or more radar deployment stations in practical applications. Therefore, the dynamic deployment of multi-ship fleets can be considered as a comprehensive problem of deployment forms and platform maneuvers. The detection accuracy of the multi-station external radiation system based on the GDOP representation under the DOA system is analyzed, and the problem of dynamic deployment of multi-station DOA based on sea-based stations is solved.

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范文泉,肖文书.基于MUSIC和ESPRIT算法的DOA动态布站[J].电子测量技术,2019,42(2):142-148

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  • 在线发布日期: 2021-07-08
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