强噪声环境下的多分量LFM信号识别  

Recognition of Multi-component LFM Signal in Strong Noise

作　　者：熊波[1] 李国林[2] 于静[1] 

机构地区：[1]烟台海军航空工程学院研究生一队,烟台264001 [2]烟台海军航空工程学院兵器科学与技术系,烟台264001

出　　处：《信号处理》2007年第2期298-300,共3页Journal of Signal Processing

摘　　要：提出通过固定延迟的模糊函数来识别多分量LFM信号的线性调频率。然后利用识别出的线性调频率对信号进行解线调,再对解线调后的信号进行FFT来识别每个LFM信号分量的初始频率。最后对该方法进行了计算机仿真验证,仿真结果表明该方法能对强噪声环境下的多分量LFM信号进行有效识别。该方法计算量小、可靠性高,完全可以在工程上实现对多分量LFM信号的实时侦察识别。The method to detect multi-component linear-frequency-modulated （LFM） signal＇s LFM rate by ambiguity function with fixed delay was proposed. Then, use the gotten LFM rate to remove the signal＇s LFM. And then apply FFF to the signal whose LFM was removed to get the original frequency of each component. Finally, the method was tested by computer simulation. The simulation result proved that the method can detect multi-component LFM signal in strong noise effectively. The method needs little computation, and has high reliability. So, it can be used in engineering to recognize multi-component LFM signal in time.

关 键 词：多分量线性调频信号 模糊函数 固定延迟 瞬时自相关 

分 类 号：TN911.23[电子电信—通信与信息系统]