| 基于802.15.6的分组检测算法设计与仿真 |
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| 引用本文： | 李国权,李第惠,孙朋,庞宇,王增祥,张杰.基于802.15.6的分组检测算法设计与仿真[J].北京理工大学学报,2015,35(S1):132-136. |
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| 作者姓名： | 李国权 李第惠 孙朋 庞宇 王增祥 张杰 |
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| 作者单位： | 重庆邮电大学通信与信息工程学院, 重庆 400065,重庆邮电大学通信与信息工程学院, 重庆 400065,中国人民解放军第三零九医院, 北京 100094,重庆邮电大学光电工程学院, 重庆 400065,重庆邮电大学通信与信息工程学院, 重庆 400065,重庆邮电大学通信与信息工程学院, 重庆 400065 |
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| 基金项目： | 国家自然科学基金资助项目(61301124, 61471075);重庆高校创新团队建设计划(智慧医疗系统与核心技术创新团队) |
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| 摘 要： | 针对BAN(body area network)系统传输数据分组具有突发性的特点,设计了一种基于数字匹配滤波器和自适应门限判决的分组检测方法.根据数字匹配滤波器的原理和BAN调制信号的特点分析获得了相关峰值的计算方法,采用自适应门限判决的方法对相关峰值进行判决实现分组检测,并利用Matlab对算法性能进行了仿真.仿真结果表明,采用的分组检测算法在一定频偏范围内均具有较高的检测概率.
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| 关 键 词： | 人体局域网(BAN) 分组检测 相关峰值 自适应门限判决 |
| 收稿时间： | 2015/3/20 0:00:00 |
Design and Simulation for Packet Detection Algorithm Based on 802.15.6 |
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| LI Guo-quan,LI Di-hui,SUN Peng,PANG Yu,WANG Zeng-xiang and ZHANG Jie.Design and Simulation for Packet Detection Algorithm Based on 802.15.6[J].Journal of Beijing Institute of Technology(Natural Science Edition),2015,35(S1):132-136. |
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| Authors: | LI Guo-quan LI Di-hui SUN Peng PANG Yu WANG Zeng-xiang and ZHANG Jie |
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| Institution: | School of Communication and Information Engeering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,School of Communication and Information Engeering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,The 309th Hospital of Chinese People's Liberation Army, Beijing 100094, China,College of Electroning Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China,School of Communication and Information Engeering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China and School of Communication and Information Engeering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China |
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| Abstract: | Considering the burstiness of packet data transmission in BAN (body area network) system, a packet detection method based on digital match filter (DMF) and adaptive threshold decision was designed. According to the principle of DMF and the feature of BAN modulation signals, calculation of correlation peak was first analyzed and achieved. Then the adaptive threshold was selected to make a decision of the correlation peak to achieve the arrival time of packets. Finally, simulation analysis was carried out to verity the performance. The results demonstrate that high detection probability can be obtained even with a certain frequency offset. |
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| Keywords: | body area network (BAN) packet detection correlation peak adaptive threshold decision |
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