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[matlabSMI

Description: SMI(协方差矩阵求逆)算法是波束合成常用的算法。-SMI (covariance matrix inversion) algorithm is commonly used synthetic beamforming algorithms.
Platform: | Size: 1024 | Author: 郑耀 | Hits:

[matlabSMI

Description: 块自适应处理算法先有采样快拍数据计算采样协方差矩阵,再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical block adaptive processing algorithms for the sample matrix inversion (SMI) algorithm. Simulation of the sampling matrix inversion method (SMI) beamforming pattern sidelobe level of the signal by the number of snapshots.
Platform: | Size: 1024 | Author: Billy | Hits:

[transportation applicationsGround_Effect_Inversion

Description: 由地面效应反转和一个单一的垂直阵列源距离和高度确定 -------------------------------------------------- --------------------------------------------- matlab文件的集合来确定与一个单一的垂直阵列的来源范围,并高度。 使用一个分析传播模型来计算上述的阻抗平面的声场。 用途要么转向响应功率(SRP)与Barteltt或MUSIC波束形成器或幅度/相位差异 各麦克风之间。-Source distance and height determination by ground effect inversion and a single vertical array ----------------------------------------------------------------------------------------------- A collection of Matlab file to determine the source range and height with a single vertical array. Uses an analytical propagation model to calculate the sound field above an impedance plane. Uses either steered response power (SRP) with Barteltt or MUSIC beamformer or the magnitude/phase differences between the microphones. Position_Bartlett.m Bartlett (delay-and-sum) based position estimation. Fixed grid search. Position_Bartlett_CF.m Bartlett (delay-and-sum) based position estimation. Adaptive grid search: Coarse-to-fine grid contraction. Position_MUSIC.m MUSIC (eigendecomposition of the covariance matrix) based position estimation. Fixed grid search. Position_MUSIC_CF.m MUSIC (eigendecomposition of the covariance matrix) based position estimation. Adaptive grid s
Platform: | Size: 6144 | Author: 李云 | Hits:

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