一种多分量调频信号瞬时频率估计方法

针对多分量调频信号的相位结构分析问题,提出了一种基于维特比算法的瞬时频率估计方法。该算法受多目标跟踪中的航迹关联思想启发,将瞬时频率轨迹追踪同多目标航迹跟踪相结合,建立了一种新型隶属度惩罚函数,解决了原维特比算法只适用于单分量信号的问题。此外,还提出了一种新型时频交叉点的处理方法,能够提高多分量信号瞬时频率交叉时的估计精度。仿真表明,相较于现有的同类型算法,该方法能够准确地获取复杂相位结构的多分量信号瞬时频率信息,有效地提升了维特比算法在多分量信号瞬时频率估计上的适用性和稳健性。

Method for IF estimation of multicomponent FM signals

Aiming at the key problem on the phase structure analysis for multicomponent FM signals, an IF(Instantaneous Frequency) estimation method based on the Viterbi algorithm is proposed. Inspired by the idea of track association in multi-target tracking, combining IF trajectory tracking with multi-target tracking, a new membership penalty function is introduced to broaden adaptability and the proposed method performs better than the original VA which is only applicable to single-component signals. Furthermore, a new TF(Time-Frequency) cross-point processing method is proposed to improve the estimation accuracy of multicomponent signals. According to simulation results, the proposed method can obtain accurate IF information on multicomponent signals with a complex phase structure. Compared to the existing algorithms, it is shown that the proposed algorithm based on the VA improves effectively the applicability and robustness for IF estimation of multicomponent signals.