摘要
跳频信号参数估计是跳频通信侦查的重要环节,针对低信噪比环境下参数估计结果差、高精度算法的复杂度过高难以实际应用的问题,提出一种短时傅里叶变换和带通滤波相结合的低复杂度算法。先依据短时傅里叶变换结果的最大值曲线估计跳周期参数,然后用以跳周期估计值为通带中心的带通滤波器对最大值曲线进行修正,并用修正后曲线估计跳时刻、载频频率,从而完成了跳频信号参数估计。仿真结果表明:低复杂度优化算法在低信噪比环境下能有效估计出跳频信号参数。
Parameter estimation of frequency hopping signals is an important link in the investigation of frequency hopping communication. Aiming at the low result of the parameter estimation under low signal noise ratio（SNR） con- dition and the high complexity of the high precision algorithm, a low complexity algorithm based on short - time Fou- rier transform（STFF） and band - pass filtering was proposed. Firstly, the hopping period was estimated with the maximum curve of the STFT result. Seeondly, the estimated hopping period was set as the passband center of the band- pass filter, and the maximum curve was modified with the band- pass filter. Then hopping instants and hopping frequencies were estimated based on the modified maximum curve, and the parameter estimation of frequency hopping signal was completed. Simulations demonstrate that this low complexity algorithm can effectively estimate the parameters of frequency hopping signals under low SNR condition.
出处
《计算机仿真》
CSCD
北大核心
2016年第6期223-227,共5页
Computer Simulation
