一种新的多目标盲波束形成技术研究
Study on new blind beamforming for multitargets
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摘要: 该文提出了一种新的多目标盲波束形成算法。该方法在最小二乘恒模算法的基础上,通过对一种新的代价函数的最小化,来盲估计波束形成器的权矢量,从而完成对多目标的分离与定向。同时,采用一种改进的神经网络结构解决了最小二乘算法中矩阵求逆的运算,不但能有效提高运行速度,而且易于用硬件实时实现盲波束形成。仿真实验验证了该算法的有效性和正确性。Abstract: A new blind beamforming algorithm for multitargets is presented in this paper. This method can estimate the weights of beamformers blindly by minimizing a new cost function based on least-squares constant modulus algorithm so as to separate the multitargets and find the direction. At the same time, a developed neural network is used to compute the inverse of a matrix, which not only improve the computing speed but also use easily hardware to carry out the blind beamforming. Simulation proves correctness of this algorithm.
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