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MVDR algorithm for broadband coherent source signals based on data reconstruction

机译:基于数据重构的宽带相干源信号MVDR算法

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We proposed an algorithm for broadband signals which provide minimum variance distortionless Response(MVDR) on data reconstruction. The output of different array elements at the same time is taken as the sampling of the continuous line array based on the sampling theorem, and the data of the time domain is re-sampled. The method is used to estimate the azimuth of the broadband coherent source and a method of obtaining the focus error is proposed to analyze the performance of the MVDR algorithm of the broadband coherent source. We compared the computer simulation of the FFT interpolation method and data reconstruction method of the azimuth estimation. Results show that data reconstruction method for the broadband MVDR algorithm, has better resolution probability and lower RMS error than the FFT interpolation method.
机译:我们提出了一种宽带信号算法,该算法可在数据重建中提供最小方差无失真响应(MVDR)。根据采样定理,将同时输出的不同数组元素作为连续线数组的采样,并对时域的数据进行重新采样。该方法用于估计宽带相干源的方位角,并提出一种获取聚焦误差的方法来分析宽带相干源的MVDR算法的性能。我们比较了FFT插值方法的计算机仿真和方位角估计的数据重建方法。结果表明,与FFT插值方法相比,宽带MVDR算法的数据重构方法具有更好的分辨率概率和更低的RMS误差。

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