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基于分级统计最大平均功率的WBAN符号同步算法

Symbol timing recovery algorithm based on ordered statistic of maximum mean power timing for WBAN
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摘要 基于最大平均功率的符号同步算法,适合无线体域网对同步算法的快速定时、对载频偏移不敏感特性的要求。基于IEEE 802.15.6标准,通过分级统计平均功率的方法降低算法运算复杂度,实现了体域网链路的低复杂度高效率符号同步。理论推导及仿真结果表明,该算法可在32个符号内完成符号同步,算法复杂度较常规的最大平均功率算法最多可降低近90%。其快速同步及不受载波相位偏移影响的特性也为载频同步及帧同步提供了更多的优化空间。 The symbol timing algorithm based on maximum mean power timing is independent of carrier phase offset, and has the property of capturing timing information fast, which meets the demand of wireless body area networks (WBAN). According to IEEE 802.15.6 standard, the ordered statistic of maximum mean power timing was used to reduce the computational complexity in the symbol timing process. The theoretical analysis and simulation results shows that the proposed algorithm can achieve symbol timing within 32 symbols and reduce the computational complexity by ninety percent at most compared to the original maximum mean power algorithm. The fast synchronization and car- tier-independence property of the proposed algorithm can also make room for carrier-offset recovery and frame synchro- nization.
出处 《通信学报》 EI CSCD 北大核心 2015年第5期81-88,共8页 Journal on Communications
基金 国家自然科学基金资助项目(61303253)~~
关键词 符号同步 最大平均功率 分级统计 低复杂度 无线体域网 symbol timing maximum mean power timing ordered statistic low-complexity wireless body area networks
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