Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (1): 39-44.doi: 10.3969/j.issn.1001-506X.2018.01.06

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Direction finding algorithm of correlated interferometer based on genetic algorithm with high degree of stretching#br#

WANG Zhangang, WANG Daming, BA Bin, ZHANG Yankui   

  1. Institute of Information System Engineering, PLA Information Engineering University, Zhengzhou 450001, China
  • Online:2018-01-08 Published:2018-01-08

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Abstract:

To cope with the problem of strong nonlinearity resulting from fuzzy phase difference, an improved genetic algorithm (GA) based on high degree of stretching is proposed. Based on merit-based selection mechanism in GA, the algorithm designs new fitness functions by defining the degree of stretching and utilizing the characteristic that correlation function and its partial derivative are both close to zero. The algorithm could optimize the selection mechanism by means of increasing the degree of stretching of fitness functions around the global maximum and widening the gap among this function and fitness functions from other directions. Simulation experiments indicate that, compared with grid method, the improved GA performs better in algorithm complexity and spends only one six-hundredth of the time which grid method uses. And the algorithm could be widely applied to solve other problems about searching the global maximum of the function of nonlinear correlation.

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