基于超采样的序贯频谱检测算法设计任务书
2020-04-24 11:15:42
1. 毕业设计(论文)的内容和要求
随着各种无线设备的急剧增加,ism频段越来越拥挤,无法为无线传感器网络提供高质量的通信信道,因此无线频谱资源的稀缺限制了无线传感器网络在人口密集城市的大规模铺设,从而影响了物联网的快速发展。
无线传感器网络采用认知技术,使传感器节点配置认知模块以实时感知周围环境中时域和空域的频谱空洞,从而动态地接入空白频段来完成通信任务,因此无线认知传感器网络增加了传感器节点的工作带宽,缓解了ism频段的拥挤状况,提高了对空闲频谱的利用率。
本课题设计基于超采样的序贯频谱检测算法,具体的任务分解如下: 1.研究传统的频谱感知算法,并在此基础上设计针对超采样的序贯频谱感知算法; 2.在matlab中对设计算法进行仿真,验证算法的可行性、有效性。
2. 参考文献
[1] Shahzad F, Sheltami T R, Shakshuki E M. Multi-objective optimization for a reliable localization scheme in wireless sensor networks [J]. Journal of Communications and Networks. 2016, 18(5): 796-805. [2] 李燕君, 胡绍利, 池凯凯, 陈鸿龙. 面向家庭健康监护的传感网中继节点部署方法 [J]. 仪器仪表学报, 2015, 9(36): 2153-2159. [3] Marco C J, Miguel A D I, Ulises P R, et al. On spectrum occupancy measurements at 2.4 GHz ISM band for cognitive radio applications [C]. International Conference on Electronics, Communications and Computers, 2016: 25-31. [4] Wang B B, Liu K J. Advances in cognitive radio networks: a survey [J]. IEEE Journal of Selected Topics in Signal Processing. 2011, 5(1): 5-23. [5] Tsiropoulos G I, Dobre O A, Ahmed M H, et al. Radio resource allocation techniques for efficient spectrum access in cognitive radio networks [J]. IEEE Communications Surveys Tutorials, 2016, 18(1): 824-847. [6] Chiwewe T M, Mbuya C F, Hancke G P. Using cognitive radio for interference-resistant industrial wireless sensor networks: an overview [J]. IEEE Transactions on Industrial Informatics, 2015, 11(6): 1466-1481. [7] Sobron I, Diniz P S R, Martins W A, Velez M. Energy detection technique for adaptive spectrum sensing [J]. IEEE Transactions on Communications, 2015, 63(3): 617-627. [8] 张学军, 严金童, 田峰, 孙知信. 基于差分能量检测的双门限协作频谱感知算法 [J]. 仪器仪表学报, 2014, 35(6): 1325-1330. [9] Zhang X, Qiu Z D. A sequential energy detection based spectrum sensing scheme in cognitive radio [J]. Engineering and Technology, 2013, 5(3): 1002-1007. [10] Sreedharan J K, Sharma V. Spectrum sensing using distributed sequential detection via noisy reporting MAC [J]. Signal Processing, 2015, 106: 159-173. [11] Xin Y, Zhang H H. A Low-complexity sequential spectrum sensing algorithm for cognitive radio [J]. IEEE Journal on Selected Areas in Communications, 2014, 32(3): 387-399.
3. 毕业设计(论文)进程安排
第1-3周 收集资料,熟悉课题; 第4-10周 读文献,开始课题学习、研究,上机实验; 第11-14周 论文写作; 第15周 论文整理、定稿并打印; 第16周 论文答辩准备。