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Cell search in W-CDMA

机译:W-CDMA中的小区搜索

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In a CDMA cellular system, the process of the mobile stationnsearching for a cell and achieving code and time synchronization to itsndownlink scrambling code is referred to as cell search. Cell search isnperformed in three scenarios: initial cell search when a mobile stationnis switched on, idle mode search when inactive, and active mode searchnduring a call. The latter two are also called target cell search. Thisnpaper presents algorithms and results for both initial and target cellnsearch scenarios for the wideband CDMA (W-CDMA) standard. In W-CDMA, thencell search itself is divided into five acquisition stages: slotnsynchronization, frame synchronization and scrambling code groupnidentification, scrambling code identification, frequency acquisition,nand cell identification. Initial cell search needs all five stages,nwhile target cell search in general does not need the last two stages. Anpipelined process of the first three stages that minimizes the averagencode and time acquisition time, while keeping the complexity at anreasonable level, is considered. The frequency error in initial cellnsearch, which may be as large as 20 kHz, is taken care of by partialnsymbol despreading and noncoherent combining. Optimization of key systemnparameters such as the loading factors for primary synchronizationnchannel, synchronization channel, and common pilot channel for achievingnthe smallest average code and time acquisition time is studied. Afterncode and time synchronization (the first three stages), a maximumnlikelihood (ML)-based frequency acquisition method is used to bring downnthe frequency error to about 200 Hz. The gain of this method is morenthan 10 dB compared to an alternative scheme that obtains a frequencynerror estimate using differential detection
机译:在CDMA蜂窝系统中,移动站搜索小区并实现与其下行扰码的代码和时间同步的过程称为小区搜索。在三种情况下执行小区搜索:移动站开机时的初始小区搜索,不活动时的空闲模式搜索以及通话期间的活动模式搜索。后两个也称为目标小区搜索。本文介绍了针对宽带CDMA(W-CDMA)标准的初始和目标蜂窝搜索方案的算法和结果。在W-CDMA中,小区搜索本身分为五个捕获阶段:时隙同步,帧同步和扰码组识别,扰码识别,频率获取,小区识别。初始小区搜索需要全部五个阶段,而目标小区搜索通常不需要最后两个阶段。考虑了前三个阶段的流水线化过程,该过程使平均码和时间获取时间最小化,同时将复杂性保持在合理的水平。初始单元搜索中的频率误差可能高达20 kHz,可通过部分符号符号解扩和非相干组合来解决。研究了主要同步信道,同步信道和公共导频信道等关键系统参数的优化,以实现最小的平均码和时间获取时间。在进行代码和时间同步之后(前三个阶段),使用了基于最大似然(ML)的频率采集方法,将频率误差降低到大约200 Hz。与使用差分检测获得频率误差估计的替代方案相比,该方法的增益超过10 dB。

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