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The Influence of Random Element Displacement on DOA Estimates Obtained with (Khatri–Rao-)Root-MUSIC

机译:(Khatri–Rao-)Root-MUSIC获得的随机元素位移对DOA估计的影响

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摘要

Although a wide range of direction of arrival (DOA) estimation algorithms has been described for a diverse range of array configurations, no specific stochastic analysis framework has been established to assess the probability density function of the error on DOA estimates due to random errors in the array geometry. Therefore, we propose a stochastic collocation method that relies on a generalized polynomial chaos expansion to connect the statistical distribution of random position errors to the resulting distribution of the DOA estimates. We apply this technique to the conventional root-MUSIC and the Khatri-Rao-root-MUSIC methods. According to Monte-Carlo simulations, this novel approach yields a speedup by a factor of more than 100 in terms of CPU-time for a one-dimensional case and by a factor of 56 for a two-dimensional case.
机译:尽管已针对各种各样的阵列配置描述了广泛的到达方向(DOA)估计算法,但尚未建立特定的随机分析框架来评估由于DOA估计中的随机误差而导致的误差的概率密度函数。数组几何。因此,我们提出了一种随机配置方法,该方法依靠广义多项式混沌展开来将随机位置误差的统计分布与DOA估计的结果分布联系起来。我们将此技术应用于常规的root-MUSIC和Khatri-Rao-root-MUSIC方法。根据Monte-Carlo仿真,对于一维情况,此新颖方法的CPU时间提高了100倍,而在二维情况下,则提高了56倍。

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