毫米波星间通信测距一体化技术研究

近年来卫星编队飞行和星间链路技术成为了航天领域的研究热点。在这种趋势之下，需要通过星间的相互通信与相对位置测量来保障编队构型的相对稳定以及实现星间协作。将星间通信和星距测量融合到一体化平台中可以实现通信测距一体化，能够降低负载，符合当前卫星的发展趋势。针对卫星毫米波星间链路设计了一体化波形，同时提出一系列信号处理技术完成波形的同步以及分离，实现了星间通信测距一体化。针对分离波形以及功放非线性对通信信号的影响，使用了基于深度学习的信号检测算法，降低了通信数据的误比特率。仿真结果验证了所设计的一体化波形及信号处理技术在星间链路应用的可行性。

Research on integrated technology of millimeter wave inter-satellite communication and ranging

In recent years,satellites formation flying and inter-satellite link technology has become a hotspot in the aerospace field.Under this trend,it is necessary to ensure the relative stability of formation configuration and realize inter-satellite cooperation through inter-satellite communication and relative position measurement.Integrating inter-satellite communication and satellite distance measurement into the integrated platform can realize the integration of communication and ranging,reduce the load,and meet the development trend of current satellites.An integrated waveform is designed for the millimeter wave inter-satellite link.At the same time,a series of signal processing technologies are proposed to complete the synchronization and separation of waveforms,so as to realize the integration of inter-satellite communication and ranging.For the influence of separated waveform and power amplifier nonlinearity on communication signal,a signal detection algorithm based on deep learning is used to reduce the bit error rate of communication data.The simulation results verify the feasibility of the designed integrated waveform and signal processing technology in the application of inter-satellite link.