Linearly Constrained Minimum Variance Beamforming
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This paper employs linearly constrained minimum variance (LCMV) beamforming technique for simulation. The objective of this technique is to form beam pointing towards two desired directions while creating nulls in two interference directions. Through this approach, interference can be effectively suppressed and signal reception performance enhanced. Implementation typically involves calculating the optimum weight vector using the formula w = R-1C(CHR-1C)-1f, where R represents the covariance matrix of received signals, C is the constraint matrix containing steering vectors for desired and interference directions, and f defines the response constraints. The algorithm requires precise calculation of steering vectors based on array geometry and incident angles, with MATLAB functions like phased.ULA and phased.SteeringVector commonly used for array configuration and pattern generation.
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