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Wideband direction of arrival estimation based on multiple virtual extension arrays

机译:基于多个虚拟扩展阵列的宽带到达方向估计

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Wideband direction of arrivals (DOAs) estimation is a important research direction in array signal processing field. In the real application of DOAs estimation, signals are always corrupted by noise, and in some cases the number of source signals is larger than that of sensors, therefore sources cannot be correctly resolved by using some conventional algorithms. In this paper, a wideband DOAs method combining spatial resampling and fourth-order cumulants is presented - Multiple Virtual Extension Array (MVEA). MVEA can find the direction of wideband sources correctly in the case where the number of sources is larger than that of sensor, and by utilizing virtual extension both spatial resampling and fourth-order cumulants, MVEA obtains better spatial resolution than method only based on spatial resampling virtual extension(SRVE). MVEA can also suppress Gaussian noise more effectively than SRVE by applying fourth-order cumulants, therefore MVEA obtains higher DOAs estimation precision than SRVE.
机译:宽带到达方向(DOA)估计是阵列信号处理领域的重要研究方向。在DOA估计的实际应用中,信号总是被噪声破坏,在某些情况下,源信号的数量大于传感器的数量,因此,使用某些常规算法无法正确解析源。本文提出了一种将空间重采样和四阶累积量相结合的宽带DOA方法-多重虚拟扩展阵列(MVEA)。在光源数量大于传感器数量的情况下,MVEA可以正确找到宽带光源的方向,并且通过利用虚拟扩展空间重采样和四阶累积量,与仅基于空间重采样的方法相比,MVEA可获得更好的空间分辨率虚拟扩展名(SRVE)。通过应用四阶累积量,MVEA还可以比SRVE更有效地抑制高斯噪声,因此MVEA获得的DOA估计精度高于SRVE。

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