一种联合跳频信号参数估计方法

提出一种新的跳频信号参数联合估计算法,即对跳频信号作较短窗长STFT,然后提取其时频脊线得到跳频周期、跳变时刻的精确估计和跳频频率的粗估计,最后对跳频频率的粗估计值所在频域区间进行Zoom-FFT细化分析,得到跳频频率的准确估计。仿真结果表明,与基于SPWVD和基于小波变换的参数估计方法相比,该方法具有更好的抗噪性能和更小的计算量。

New Joint Method for Parameter Estimation of Frequency Hopping Signals

This paper proposes a new joint method for parameter estimation of frequency-hopping signals.First,short-time Fourier transform（STFT） with short window is obtained.Then,accurate parameter estimation of time-domain and coarse parameter estimation of frequency-domain are extracted from the time-frequency ridge of STFT.Finally,the local spectrum is zoomed to obtain accurate estimation of hopping frequencies by using Zoom-FFT.Numerical experiments show that the proposed approach yields better performance on anti-noise and computational complexity compared to the techniques based on smooth pseudo Wigner-Ville distribution and wavelet transform.