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基于改进遗传算法的波达角估计

DOA estimation based on improved genetic algorithm
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摘要 利用线阵进行波达角估计的常用方法是长短基线配合测向,但是短基线长度往往达不到理论要求值,必须采用其他手段对测相数据进行处理。将遗传算法引入波达角估计运算,并进行了改进,将各条基线对应的相位差模糊数作为解空间的二进制编码对象,既简单易行,又不会受到二进制编码精度较低的影响。整个算法取得了较好的效果,能够较准确地估计各基线对应的相位差模糊数。 The common method of DOA estimation based on linear antenna array is to use various length baselines. However,the length of short baseline usually can't be short enough as the algorithm required, so other methods must be adopted to process the interferometer data. A genetic algorithm is adopted and improved to estimate DOA. The ambiguity numbers of each baseline become coding ohjects, which has many advantages: the algorithm is easy to be carried out and the precision will not be affected by binary coding. The algorithm performs well,which can estimate the DOA correctly.
作者 吴拓 莫华
出处 《航天电子对抗》 2008年第2期47-50,共4页 Aerospace Electronic Warfare
关键词 改进遗传算法 波达角估计 解模糊 improved genetic algorithm DOA estimate eliminate ambiguity
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参考文献2

  • 1Schmitt LM. Fundamental study theory of genetic algorithms[J].Theoretical Computer Science, 2001,259: 1 - 61.
  • 2徐尚志,徐旭,叶中付.基于遗传算法的DOA估计[J].中国科学技术大学学报,2004,34(3):361-365. 被引量:5

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