一种基于STFT的跳频参数估计方法
A Method for Parameter Estimation of Frequency Hopping Signal Based on STFT

针对跳频信号检测和参数估计，提出一种基于短时傅里叶变换(STFT)和时间相关聚类统计分析的跳频信号参数估计方法。采用STFT对原始采样信号进行时频分析得到全域时频矩阵，提取每一时段峰值频点信号特征参数作为跳频频点估计，然后根据信号特征参数进行时间相关聚类统计，采用差分统计直方图方法进行跳频参数估计，降低了运算时间开销和干扰误差。仿真实验结果表明，该方法能够有效实现对跳频信号检测和参数快速估计。
For frequency-hopping signal detection and parameter estimation, a parameter estimation method for frequency-hopping signal based on Short-Time Fourier Transform (STFT) and statistical analysis of the time-dependent clusters is proposed. Time-frequency analysis of the original sampled signals was conducted by STFT to obtain frequency matrix, and extracted the signal feature parameters of the peak frequency point in each time as the hop frequency estimation. Then, time-dependent cluster statistics was performed according to the signal characteristic parameters, and the difference statistical histogram method was used to estimate the frequency hopping parameters, reducing the operation overhead and interference error. Simulation results indicate that the method can achieve frequency-hopping signal detection and parameter estimation.