改进的低复杂度幅度相位估计波束形成算法

针对低复杂度的最小方差方法虽降低计算复杂度但成像质量不高的问题，提出了一种改进的低复杂度幅度相位估计波束形成算法.通过抽取协方差矩阵的有效行来计算自适应加权值，其中，有效行数的选取由更加准确的高斯相位相干系数确定，然后再用高斯相位相干因子对加权矢量做进一步修正，从而达到降低复杂度的同时保证成像质量的目的.通过实验验证，将改进算法与原算法和另一种降低复杂度的波束域方法进行对比分析，充分证明了改进算法在降低复杂度和提升成像质量方面的优越性.

Improved Low Complexity Amplitude and Phase Estimation Beamforming Algorithm

To improve the imaging quality in the minimum variance method of low complexity， an improved low-complexity amplitude and phase estimation beamforming algorithm was proposed. The adaptive weighted value was calculated by extracting the effective rows of the covariance matrix， where the selection of the effective number of rows was determined by a more accurate Gaussian phase coherence coefficient， which was then used to modify the weighting vector in order to reduce the complexity and ensure the quality of the imaging at the same time. Through experimental verification， the improved algorithm was compared with the original algorithm and another beamspace method to reduce the complexity， which fully proves the superiority of the improved algorithm in reducing the complexity and improving the imaging quality.