基于量子免疫进化的空时多维参数估计

利用阵列信号处理时域与空域等效的关系，以平面阵为基础，采用阵列协方差矩阵的奇异值分解和广义特征值分解估计接收信号的频率，通过分析阵列模型，提出一种抗原和抗体的亲和力函数；利用量子免疫进化的特性，估计出信号的俯仰角和方位角，从而完成阵列信号的多维参数估计，改善了多维参数估计的抗噪性能、数值稳定性和运行时间。通过计算机仿真，证明了该算法的有效性。

Space-time multi-dimensional estimation using quantum immune evolutionary algorithm

Using the relationship of the time-equivalent between the array signal processing and the airspace, to based on the plane array, using singular value decomposition and the generalized eigenvalue decomposition of array covariance matrix, the frequency of the received signal can be estimated. A function of antigen and antibody affinity is proposed by analyzing the array model. It can estimate the pitch angle and azimuth signal using the characteristics of the evolution of immune. Thus the multidimensional array signal parameter estimation can be completed. The numerical stability, noise immunity and time consuming of multi-dimensional parameters estimation can be improved. The computer simulation shows that the proposed algorithm is effective.