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为满足低信噪比下的跳频参数盲估计,提出一种重排平滑伪Winger-Ville分布与离散平稳小波变换结合的处理方法.利用离散平稳小波变换的时移不变性及重排分布更好的时频聚集性与交叉项抑制性能,有效提高了抗高斯白噪声干扰的能力.仿真试验表明,该方法可以在信噪比为-6dB以下实现跳频参数的盲提取,为低信噪比下的跳频参数盲处理提供新思路.
In order to meet the requirement of blind estimation of frequency hopping parameters with low signal-to-noise ratio (SNR), a new method combining the rearranged and smoothed pseudo-Winger-Ville distribution with the discrete stationary wavelet transform is proposed.Using the time-varying invariance and rearrangement of the discrete stationary wavelet transform Good time-frequency clustering and cross-term suppression performance, and effectively improve the anti-Gaussian white noise interference ability.The simulation results show that this method can achieve blind extraction of frequency hopping parameters under the SNR of -6dB, Than the frequency hopping parameters of blind processing to provide new ideas.