摘要
研究了模糊神经网络在二相码旁瓣抑制中的应用,对网络的学习算法进行了改进,采用梯度下降算法优化规则前件参数,而用最小二乘算法优化规则后件参数。对13位巴克码进行的仿真结果表明,改进的算法具有极快的收敛速度,可获得60 dB以上的输出主副比,提高了雷达的探测性能。
The application of fuzzy neural network（FNN） for sidelobe suppression in binary-coded radar is discussed in this paper. The learning algorithm is improved through gradient descent algorithm to optimise the parameters of the premise part of the fuzzy rule and adopting the least square algorithm to regulate the parameters of consequent part. Simulation results show that the improved algorithm has faster convergence speed, and over 60 dB mainlobe to sidelobe ratio is obtationed. As a result, the detection performance of radar is enhanced.
出处
《现代雷达》
CSCD
北大核心
2009年第12期40-42,48,共4页
Modern Radar
关键词
模糊神经网络
旁瓣抑制
混合学习算法
neural fuzzy network
sidelobe suppression
hybrid learning algorithm
