一种基于统计模式的包/帧同步检测器,应用于无线usb

R. Sherratt, J. Khan, O. Cadenas
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引用次数: 0

摘要

无线个人区域网络(wpan)提供适合连接高带宽个人消费设备(无线高清流媒体、无线usb和蓝牙EDR)的高数据速率。ECMA-368是许多这些无线设备的物理(PHY)和媒体访问控制(MAC)骨干。WPAN设备倾向于在基于ad-hoc的网络中运行,因此成功地锁定到网络并成为可用的微网之一的一部分非常重要。本文提出了一种新的ECMA-368包/名声同步(PFS)信号检测算法,用于识别piconet和辅助符号定时。该算法基于将接收到的PFS符号与24或12个PFS符号中的预期本地存储符号相关联,但根据24或12个最佳相关结果中的最高统计模式选择可能的TFC。结果非常有利,在参考灵敏度测试中,使用该算法所需的性能与可比系统的性能之间的改进幅度约为11.5 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Packet/Frame sync detector based on statistical mode with application to wireless-USB
Wireless personal area networks (WPANs) are offering high data rates suitable for interconnecting high bandwidth personal consumer devices (wireless HD streaming, Wireless-USB and Bluetooth EDR). ECMA-368 is the Physical (PHY) and Media Access Control (MAC) backbone of many of these wireless devices. WPAN devices tend to operate in an ad-hoc based network and therefore it is important to successfully latch onto the network and become part of one of the available piconets. This paper presents a new algorithm for detecting the Packet/Fame Sync (PFS) signal in ECMA-368 to identify piconets and aid symbol timing. The algorithm is based on correlating the received PFS symbols with the expected locally stored symbols over the 24 or 12 PFS symbols, but selecting the likely TFC based on the highest statistical mode from the 24 or 12 best correlation results. The results are very favorable showing an improvement margin in the order of 11.5 dB in reference sensitivity tests between the required performance using this algorithm and the performance of comparable systems.
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