空间星载电子设备与地面通信信号检测仿真

Simulation of Communication and Signal Detection for Space Borne Electronic Devices and Ground

对空间星载电子设备与地面通信的信号进行检测,能够提高对强干扰信号检测的精度。对通信时的波形信号进行检测,需要选取合适的门限阈值,对波形信号频谱进行检测,完成信号的检测。传统方法采集设备与地面通信的波形信号并进行非均匀采用,获取波形信号整个周期的时间序列,但忽略了对波形信号频谱的检测,导致检测精度低。提出基于形态学处理的空间星载电子设备与地面通信信号检测方法,考虑到与地面通信中波形信号的特征,可以将其分解成暂态脉冲形态波形信号和谐波形态波形信号两种不同形态,并对其进行形态学成分分析。选取合适的门限阈值对形态学成分分析后的信号频谱进行检测。通过对门限检测后的空间星载电子设备与地面通信波形信号的开运算和闭运算,实现强干扰信号检测。仿真结果表明,所提方法能够较好地描述噪声基底,提高了强干扰信号检测性能,具有检测率高、虚警率低的性能。

The detection of signals from space borne electronic devices and ground communication can improve the accuracy of detection of strong interference signals. To detect the waveform signal during communication,we need to select the appropriate threshold value,detect the spectrum of the waveform signal,and complete the detection of the signal. The waveform signal of the traditional method and the ground communication were inhomogeneously used,and the time series of the whole cycle of the waveform signal was obtained,but the detection of the spectrum of the waveform signal was ignored,which leads to the low detection precision. The detection method of space satellite borne electronic equipment and ground communication signal based on morphological processing were proposed. Considering the characteristics of the waveform signal in the ground communication,it can be decomposed into two different forms of the transient pulse shape waveform signal and the waveform signal of the harmonic wave form,and the morphological components were analyzed and the appropriate gate was selected. The threshold was used to detect the signal spectrum after the morphological analysis,and the strong interference signal was detected by the open operation and closed operation of the space borne electronic equipment and the ground communication waveform signal after the threshold detection. The simulation results show that the proposed method can describe the noise base well,improve the detection performance of the strong jamming signal,and has the performance of high detection rate and low false alarm rate.