针对深空通信系统中接收信号信噪比极低且多普勒频移大的特点,提出了一种基于循环能量谱的信号检测新方案.该方案将信号循环谱中各个循环频率截面上的能量分布定义为循环能量谱,利用发射信号的循环能量谱特征与接收信号循环能量谱进行相关处理,并将此相关量作为检测统计量,以检测目标信号是否存在.计算机仿真结果表明,与目前已有的算法相比,该方案至少有6.5dB的信噪比增益,且对多普勒频移具有一定的稳健性.
According to the extremely low signal-to-noise ratio (SNR) of the received signal and the large Doppler frequency shift in the deep space communication systems, a novel detection method based on the cyclic energy spectrum is proposed. Firstly, the distribution of energy of the cycle frequency slices in the cyclic spectrum is defined as the cyclic energy spectrum. Then we correlate the cyclic energy spectrum of the received signal with that of the transmitted signal as the detecting statistic, which can determine whether the signal is present or not. Simulation results show that the proposed detector can obtain a gain u.nder an SNR of more than 6.5 dB compared with the existing detectors, and is robust to the Doppler frequency shift.