基于数据重构的宽带相干源MVDR算法

研究了基于数据重构的宽带相干源最小方差无畸变响应（MVDR）算法, 以采样定理为基础, 将同一时刻不同阵元的输出看做是连续线列阵的采样, 将时域的数据重构方法引入空间的阵元域数据, 从而实现宽带相干源的方位估计, 并提出了一种聚焦误差求取方法, 用于分析宽带相干源MVDR算法的性能。计算机仿真了FFT插值法和数据重构法的方位估计结果, 表明对于宽带MVDR算法, 数据重构方法比起FFT插值法具有更好的分辨概率和更低的均方根误差。

MVDR algorithm for wideband coherent signals based on data reconstruction

This paper studied minimum variance distortionless response(MVDR) algorithm for wideband coherent signals based on data recon struction, it based on the sampling theorem, regarded the same time output of the different array elements as sampling of a continuous line array, introduced the data reconstruction method of time domain to the space domain for array element data, accordingly, it could solute coherent wideband signals, and then proposed a method obtaining the focusing error, which could analyse the performance of MVDR algorithm for wideband coherent signals. It compared the performance to solute coherent signals using FFT interpolation and data reconstruction. The simulation results show that data reconstruction method has higher threshold of resolution and lower root mean square error than FFT interpolation using MVDR algorithm.