基于启发式智能进化算法的MIMO协作频谱感知技术研究

项目名称： 基于启发式智能进化算法的MIMO协作频谱感知技术研究

项目编号： No.61201135

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 黑永强

作者单位： 西安电子科技大学

项目金额： 25万元

中文摘要： 本课题拟针对认知用户配置多天线(MIMO)的协作频谱感知系统，以实时鲁棒可靠的频谱感知为目标，研究基于启发式智能进化算法的协作频谱感知技术的新思路。课题重点围绕系统感知参数的优化配置和协作感知机制的优化设计，解决以下相关问题：一是如何对众多感知参数进行优化配置以提高感知效率;二是如何对感知传输一体化的协作机制进行优化设计来改善全局检测的时效性和可靠性;三是如何设计求解上述非线性非凸联合优化问题的高效快速智能进化算法。本课题创新点在于提出多目标多约束条件下感知参数动态自适应优化配置方案，基于多维度分集技术的实时鲁棒增强全局检测方案以及高效快速求解联合优化问题的启发式智能进化算法，以此探索实时鲁棒可靠的协作频谱感知策略，最终形成系统的MIMO协作频谱感知方案。该研究是认知和人工智能的有机结合，涉及学科交叉，以期在理论和应用两个层面上有所突破和创新，从而为未来认知无线电的研究提供有力的技术支持。

中文关键词： 认知无线电；协作频谱感知；多输入多输出；智能进化算法；

英文摘要： Aiming at improving the timeliness, robustness and reliability of cooperative spectrum sensing system where the cognitive users are equipped with multiple antennas, this project will investigate the new techniques of the cooperative spectrum sensing by using the heuristic intelligent evolutionary algorithms. The project mainly focuses on the optimal allocation of sensing parameters and the optimization of cooperative sensing mechanism, attemptting to solve the following three problems: first is how to optimally design the numerous sensing parameters in order to maximize the sensing efficiency; second is how to jointly design the entire sensing-transmission cooperative spectrum sensing mechanism to improve the efficiency and reliablity of global spectrum sensing; finally is how to propose efficient and fast algorithms based on the heuristic intelligent evolutionary algorithms to solve the non-convex and nonlinear joint optimization problems mentioned above. The novelty of this project lies in the following aspects: the optimal configuration of adaptively dynamic sensing parameters with multiple constraints and multiple objectives, the real-time reliable cooperative global detection strategy based on multiple-dimensional diversity technique as well as the efficient and fast evolutionary heuristic intelligent alg

英文关键词： Cognitive Radio；ooperative Spectrum Sensing；MIMO；Intelligent Evolutionary Algorithm；