Link16信号联合优化跳周期估计方法研究

Research on Link16 Signal Joint Optimization Method for Jumping Period Estimation

针对Link16信号参数估计精度低等问题,提出一种重排谱图和聚类算法K-means联合的Link16信号跳周期估计方法,该方法首先利用重排谱图时频分析获得Link16信号清晰的时频图,然后通过K-means聚类算法获得相邻两跳的最终迭代聚类中心,最后对其相邻两跳的聚类中心做差分运算,并对所得差值进行算术平均,得到Link16信号的跳周期。仿真结果表明,重排谱图比谱图、维格分布(WVD)具有更好的跳周期估计性能,在信噪比高于-2dB时能够得到较精确的估计结果。

Aiming at the problem of low accuracy of Link16 signal parameter estimation,a method of Link16 signal hopping period estimation combined with rearrangement spectrogram and K-means clustering is proposed.The method first uses the time-frequency analysis of rearrangement spectrogram to obtain the clear frequency map of Link16 signal,and then obtain the final iterative cluster centers of two adjacent hops through the K-means clustering algorithm,and finally perform the difference operation on the cluster centers of the two adjacent hops,and perform arithmetic average of the differences to obtain the Link16 signal skip cycle.The simulation results show that the rearranged spectrogram has a better performance in period skipping estimation than the spectrogram and WVD,and a more accurate estimation result can be obtained when the signal-to-noise ratio is higher than-2 dB.