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提出了一种基于三阶Renyi熵测度的双向高斯核函数,分析了核参数与熵测度的变化规律,并利用逐步二次规划法对其进行优化.与信号相关径向高斯核函数时频分布相比,该方法不需要任何先验假定,能够有效反映交叉项在时频分布中的大小,获取优化的时频表示,从而提高了跳频信号的参数估计精度,同时可以适应低信噪比环境.仿真结果验证了基于熵测度优化时频表示法分析跳频信号的有效性和实用性.
A two-way Gaussian kernel function based on the third-order Renyi entropy is proposed to analyze the variation law of kernel parameters and entropy measure, which is optimized by the step-wise quadratic programming method. The signal-dependent radial Gaussian kernel time-frequency distribution , This method does not need any a priori assumption and can effectively reflect the size of the cross term in the time-frequency distribution and obtain the optimized time-frequency representation, so as to improve the accuracy of the parameter estimation of the frequency-hopping signal and to adapt to the low signal-to-noise ratio Environment.The simulation results verify the effectiveness and practicability of frequency hopping signal analysis based on entropy measure optimization time-frequency representation.