计算机工程与应用Issue(19)：210-212,221,4.DOI:10.3778/j.issn.1002-8331.1201-0182
基于量子免疫进化的空时多维参数估计
Space-time multi-dimensional estimation using quantum immune evolutionary algorithm
摘要
Abstract
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 multi-dimensional 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.关键词
量子计算/免疫进化算法/多维参数估计/谱估计/空时信号处理Key words
quantum computation/immune evolutionary algorithm/multi-dimensional parameter estimation/spectrum estima-tion/space-time signal processing分类
信息技术与安全科学引用本文复制引用
邱新建,李庆华,薛凤凤,彭安洪..基于量子免疫进化的空时多维参数估计[J].计算机工程与应用,2013,(19):210-212,221,4.基金项目
国家自然科学基金（No.60971130）。 （）
