【摘要】 分布式多输入多输出(multiple input multiple output, MIMO)天波雷达探测是基于电离层对短波电磁波的折射作用，因此，在进行正式探测前需预测出电离层短波信道性能，选取合适的探测频率，以保证探测过程的高效可靠。针对此需求开发了分布式MIMO天波雷达电离层短波信道预测软件，首先提出了软件总体模块架构，然后介绍了信道预测关键技术和最佳频率排序算法，最后基于微软基础类框架完成了软件开发。仿真结果表明，该软件可快速预测分布式天波雷达各探测信道并选取最佳探测频率，同时具有良好的扩展性。更多还原

【Abstract】 The detection of distributed multiple input multiple output(MIMO) sky-wave radar is based on the refraction effect of the ionosphere on the high frequency(HF) electromagnetic wave, it is necessary to predict the performance of the HF propagation channel of the ionosphere and select the appropriate detection frequency to ensure the high efficiency and reliability of the detection process before the formal detection. The distributed MIMO sky-wave radar ionospheric HF channel prediction software was developed. Firstly, the module structure of the software was put forward. Secondly, the key technology of channel prediction and the optimal frequency ranking algorithm was introduced. Finally, the software based on the Microsoft foundation classes(MFC) framework was developed. The simulation results show that the software can rapidly predict the HF channel of the ionosphere and select the best frequency, meanwhile it has excellent expansibility.更多还原