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MVDR algorithem for wideband coherent source signals based on data reconstruction

机译:基于数据重建的宽带相干源信号MVDR算法

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Minimum Variance Distortionless Response (MVDR) algorithm for wideband coherent signals based on data reconstruction is proposed. Based on the sampling theorem, the output of different array elements at the same time is taken as the sampling of the continuous line array, 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 wideband coherent source. Computer simulation of the FFT interpolation method and data reconstruction method of the azimuth estimation results show that for the broadband MVDR algorithm, data reconstruction method than the FFT interpolation method has better resolution probability and lower RMS error.
机译:提出了基于数据重建的宽带相干信号的最小方差失真响应(MVDR)算法。基于采样定理,将不同阵列元素的输出同时被视为连续线阵列的采样,并重新采样时域的数据。该方法用于估计宽带相干源的方位角和获得焦点误差的方法,以分析宽带相干源的MVDR算法的性能。计算机模拟FFT插值方法和数据重构方法的方位估计结果表明,对于宽带MVDR算法,数据重建方法比FFT插值方法具有更好的分辨率和更低的RMS误差。

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