临近空间协同Turbo信号接收技术研究

项目名称： 临近空间协同Turbo信号接收技术研究

项目编号： No.61471152

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 包建荣

作者单位： 杭州电子科技大学

项目金额： 80万元

中文摘要： 目前，临近空间通信(如无人机机载通信)因潜在的重大政治、军事、经济等应用价值，已成为国内外空间信息科学研究热点。但其存在低信噪比信号接收困难，低仰角多径衰落信道复杂，大范围高动态信号参数检测不易等问题。针对这些问题，本项目拟在空间通信领域，以稀疏图为信号处理框架，开展临近空间协同Turbo信号接收基础理论与关键技术研究。在理论上研究：高性能累积重复累积结构原模图扩展的低密度奇偶校验码构造与分析；低复杂度迭代同步及噪声参数估计的协同译码同步；复杂无线多径衰落信道参数的迭代估计与检测；多天线广义单输入多输出联合协同信号接收与检测等基础理论问题。在应用上研究上述理论的软硬件仿真验证平台。创新在于：随机图码字构造及随机度分析；基于稀疏图的协同译码检测与解调，以软概率消息传递为手段，消除传统分立处理引起的互信息损失；多中继互信息累积协同信号处理。预期成果有助于促进我国临近空间通信系统的实施和规划。

中文关键词： 空间通信；空间数据传输；空间数据链路；机载通信；协同解调译码

英文摘要： Recently, near space communications (e.g.unmanned aerial vehicle airborne communications) have become the hot-spots in the space information science research at home and abroad, due to their potentially huge value in politics, militaries and economies. But they still have several problems as follows. First of all, in the near space communications, the signal reception at low signal-to-noise ratio is very hard. Then,the wireless multipath fading channels are usually very complex. Finally, the estimation and detection of the large range variation of the high dynamic signals are also difficult. According to these problems, this project researches the fundamental theories and key technologies of the sparse graph framework based coordinated Turbo signal reception in near space to solve all these problems in the field of space communications. In theoretic aspects, it mainly investigates the construction and analysis of high performance structured quasi-cyclic accumulate-repeat-accumulate (QCARA) protograph extended low-density parity-check (LDPC) codes, low complexity coordinated decoded synchronization with iterative synchronization and noise parameter estimation, iterative estimation and detection of the parameters from complex wireless multipath fading channels, multi-antenna general single-input multi-output(SIMO) joint coordinate iterative detection and some other related theoretic problems. In practical aspects, it focuses on the efficient software and hardware related simulation and verification platform for the above research theories. The innovation of this project mainly consists in these aspects as follows. The channel codewords are constructed and analyzed by stochastic graph models. By the means of soft probability metric propagation, the stochastic sparse graph based framework of the coordinated decoding and signal detection/demodulation can eleminate the mutual information loss, which mainly occurs in traditional communication and information systems without joint processing, thus it improves the performance of the joint coordination system. Also the efficient mutual information accumulation based coordinated signal processing via multiple relays is applied for better performance. The anticipated fruits of this project will help contribute to the implementation and programming of the near space communication systems in our country.

英文关键词： Space Communications;Space Data Transmission;Space Data Link;Airborne Communications;Coordinated Demodulation and Decoding