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能够有效地估计接收到的跳频信号参数是干扰跳频通信的关键。针对接收到的未知任何先验参数的跳频信号,提出了一种基于Butterworth分布的跳频信号参数估计算法。由于Butterworth分布具有较好的时频聚集性和抑制交叉项性能,该算法能够在低信噪比条件下有效提取并估计出跳频信号的跳频周期、跳变时刻和跳频频率。仿真结果证明了该算法对跳频信号参数估计的有效性。
Being able to effectively estimate the received frequency hopping signal parameters is the key to interfering with frequency hopping communications. Aiming at the received frequency hopping signal of any unknown prior parameter, a frequency hopping signal parameter estimation algorithm based on Butterworth distribution is proposed. Due to the good time-frequency clustering and suppression of the cross-terms performance of Butterworth distribution, this algorithm can effectively extract and estimate the frequency hopping period, hopping time and frequency hopping of the frequency hopping signal under the condition of low signal-to-noise ratio. The simulation results show the effectiveness of the proposed algorithm in frequency hopping signal parameter estimation.