加权阵列天线的设计方法马尔柯夫链法
DESIGN APPROACH FOR WEIGHTED ARRAY ANTENNAS MARKOV CHAINS APPROACH
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摘要: 加权阵列天线的设计目前主要采用统计法。本文通过总结统计法的优缺点,提出了一个新方法马尔柯夫链法。新方法采用将阵列分成若干个区的方式,反映了在阵列的不同部分,单元相关性不同这一特性,改变了以前设计加权天线对笼统地考虑整个阵列上的单元排列。应用随机过程的马尔柯夫链特性,得到了各个随机量处于不同状态的概率。由于马尔柯夫链法反映了实际低副瓣天线的口径分布,因而利用此种方法更容易得到低副瓣的加权阵列天线。Abstract: Usually, weighted array antennas are designed by using the statistical appro-ach. In this paper, the application of the Markoy chains of a random process to the design of density weighted or phase weighted arrays is considered. The new approach is proposed to improve the Statistical approach and devides the array into several parts, in which the selection of the element location or phase is performed correlatively utilizing the probability density function for specifying the location or phase of elements at every part.
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Y. C. Guo, M. S. Smith, IEE Proc.; 130(1983)8, 343.[2]孙茂友,现代雷达,1979年,第3期,第36页.[3]郭燕昌,钱继曾等,相控阵和频率扫描天线原理,国防工业出版社,1978年.[4]王梓坤,随机过程论,科学出版社,1978年. -
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