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经典空间谱估计算法的两个适用假设是远场平面波和窄带信号。文章利用7单元均匀线列阵仿真分析了短波波段内多重信号分类(MUSIC)算法的窄带假设上限带宽。可以发现:对于短波信号,50kHz的带宽所带来的测向误差不超过0.08°。这就意味着,对于短波通信信号的侦察测向完全可以采用经典空间谱估计算法,比如MUSIC算法,而不需要为窄带假设来付出代价,这便为设计高精度的短波通信实时测向系统提供了条件。
Two applicable hypotheses of classical spatial spectrum estimation algorithms are far-field plane wave and narrow-band signals. In this paper, the upper bound of the narrowband bandwidth of the multiple signal classification (MUSIC) algorithm in the shortwave band is simulated and simulated by the 7-unit uniform linear array. It can be found that for shortwave signals, the 50 kHz bandwidth leads to no more than 0.08 ° DF errors. This means that the use of classical spatial spectrum estimation algorithms, such as the MUSIC algorithm, for the reconnaissance and direction finding of shortwave communication signals can be used without the need of narrowband assumptions, providing a high-precision shortwave communication real-time direction finding system Conditions.