摘要
通常采用Wigner-Ville分布(WVD)的最大值作为信号的瞬时频率(IF)估计,但是在低信噪比条件下,由于噪声的影响,WVD最大值往往偏离真实的IF值。文中利用基于Viterbi改进WVD算法估计调频信号的瞬时频率。仿真结果表明对于任意形式的调频(FM)信号,在低信噪比条件下此算法得到的IF估计值更接近真实的IF值,估计性能明显优于基于WVD最大值算法。对于多分量FM信号,采用逐次消去的思想依次估计出每个信号分量的IF。
Generally use maximum of Wigner-Ville distribution（WVD） as signal＇s instantaneous frequency（IF） estiemention. But in practice, error usually occurs when some points outside the signals＇ auto-term surpass values inside the auto-term for the influence of a relatively high noise. This paper use improved WVD algorithm based on Viterbi estimate IF of frequency modulation（FM） signal. Simulation experiments indicate that the algorithm can estimate IF of FM signal in low SNR. Algorithm performance excel WVD maximum algorithm, The algorithm can also be used for the IF estimation of signal components in multi-component signals based on the theory of ordinal distill.
出处
《弹箭与制导学报》
CSCD
北大核心
2007年第5期329-331,334,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
