基于分级统计最大平均功率的WBAN符号同步算法

doi:10.11959/j.issn.1000-436x.2015085

摘要/Abstract

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。

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

Abstract:

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-rier-independence property of the proposed algorithm can also make room for carrier-offset recovery and frame synchro-nization.

Key words: symbol timing, maximum mean power timing, ordered statistic, low-complexity, wireless body area networks

迟宇,陈岚,吕超. 基于分级统计最大平均功率的WBAN符号同步算法[J]. 通信学报, 2015, 36(5): 81-88.

HIYu C,HENLan C,VChao L. Symbol timing recovery algorithm based on ordered statistic of maximum mean power timing for WBAN[J]. Journal on Communications, 2015, 36(5): 81-88.

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算法	一帧内乘法次数	备注
Gardner算法	30 000	定时误差估计2NL次+插值重建NL次（至少）
O＆M算法	40 000	定时误差估计NL次(设取角度运算近似为二次多项式)+插值NL次(至少)
原最大平均功率算法	512	2NL
本文分级统计算法	204	使用分级参数1