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    基于计算智能的被动信息关联技术

    Correlation Technique for Passive Information Based on Computational Intelligence

    • 摘要: 针对分布式被动信息融合系统中存在多传感器信息关联建模和求解难题, 研究了一种基于分层信息融合结构的两传感器信息关联模型, 利用计算智能技术在并行计算与解组合计算问题的优越性, 重点构建了基于模拟退火、遗传和神经网络技术的关联求解算法. 以神经网络关联为例进行了仿真计算, 结果表明了所给出的计算智能关联算法是有效的, 在方法上对被动信息融合关联求解问题的解决具有重要意义.

       

      Abstract: Aiming at the diculty of modeling and solution for information correlation (IC) of distributed passive sensor (DPS) information fusion (IF) systems, a model of 2-sensor IC based on a hybrid ordered delaminated information fusion structure is studied. In order to utilize the advantage of computational intelligence (CI) in solving parallel computing problem and combinatorial optimization problems, solutions to IC based on simulated annealing, genetic algorithm and neural network respectively are supposed. Taking neural network IC as an example, the simulation calculation is carried out and the results show that the supposed IC algorithms based on CI are effective. It is of great significance to solve the IC problem for DPS in method.

       

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