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对跳频信号的时频域进行分析和参数估计是识别、跟踪及干扰跳频信号的重要基础。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S变换(S-transform)的跳频信号参数估计算法,通过S变换,能正确估计出跳频信号的跳频周期、跳变时刻及跳频图案。仿真结果表明,与平滑伪Wigner-Ville分布(SPWVD)进行比较,该算法能够在低信噪比条件下,在时频域中有较好的解析能力,提高了跳频信号参数估计的准确性。
Frequency-domain frequency hopping signal analysis and parameter estimation is to identify, track and interfere with the important basis for frequency-hopping signal. A frequency hopping signal estimation algorithm based on S-transform (S-transform) is proposed for the received frequency hopping signal of any unknown prior parameter. By S-transform, the frequency hopping period of the frequency hopping signal can be correctly estimated, Transition time and frequency hopping patterns. The simulation results show that the proposed algorithm has better performance in the time-frequency domain under the condition of low signal-to-noise ratio compared with the smoothed pseudo Wigner-Ville distribution (SPWVD), and improves the accuracy of frequency hopping signal parameter estimation .