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    • 41. 发明申请
    • METHOD AND DEVICE OF CHANNEL ESTIMATION FOR OFDM SYSTEM
    • OFDM系统信道估计的方法和设备
    • US20110268206A1
    • 2011-11-03
    • US13143664
    • 2009-12-30
    • Qihong GeJunwei WangBinbin LiuDong BaiTao Tao
    • Qihong GeJunwei WangBinbin LiuDong BaiTao Tao
    • H04L27/28
    • H04L27/2601H04L5/00H04L25/023
    • The present invention relates to the field of communication technology. A channel estimation device for an Orthogonal Frequency Division Multiplexing (OFDM) system is provided for performing channel estimation on data based on synchronization signal and pilot, which comprises: a synchronization signal based initial channel estimation module for performing initial channel estimation based on a synchronization signal in the data; a pilot channel tracking module for performing pilot channel tracking on the result of the initial channel estimation; a noise reduction module for performing noise reduction on the result of the pilot channel tracking; and an effective sub-carrier extraction module for extracting channel estimation values of effective sub-carriers from the result of the noise reduction. With the channel estimation method and device for OFDM system according to the present invention, the channel estimation is carried out jointly based on the synchronization signal and the pilot, such that the accuracy of channel estimation can be significantly improved and the performance requirements of the system can be satisfied without increasing the density of pilots and thus reducing the amount of system payload. Moreover, the synchronization signal can still be used for its original purpose of carrier and timing synchronization.
    • 本发明涉及通信技术领域。 提供了一种用于正交频分复用(OFDM)系统的信道估计装置,用于基于同步信号和导频对数据执行信道估计,其包括:基于同步信号的初始信道估计模块,用于基于同步信号执行初始信道估计 在数据中; 导频信道跟踪模块,用于对初始信道估计的结果执行导频信道跟踪; 噪声降低模块,用于对导频信道跟踪的结果进行降噪; 以及有效子载波提取模块,用于从降噪的结果中提取有效子载波的信道估计值。 利用根据本发明的OFDM系统的信道估计方法和装置,基于同步信号和导频共同进行信道估计,从​​而可以显着提高信道估计的精度和系统的性能要求 可以在不增加导频密度的情况下得到满足,从而减少系统有效载荷的数量。 此外,同步信号仍然可以用于载波和定时同步的原始目的。
    • 43. 发明申请
    • USER-DRIVEN INDEX SELECTION
    • 用户驱动索引选择
    • US20110161260A1
    • 2011-06-30
    • US12650285
    • 2009-12-30
    • Chris J. BurgesDenyong ZhouXiao LiYan KeTao TaoXiaodong Fan
    • Chris J. BurgesDenyong ZhouXiao LiYan KeTao TaoXiaodong Fan
    • G06F17/30G06F15/18
    • G06F17/30887
    • Techniques for index building are described. Clickcounts of respective training URLs may indicate a number of times that corresponding training URLs were clicked in search engine results. A machine learning algorithm implemented on a computer computes a trained model that is then stored. The clickcounts and respective URLs are passed to the machine learning algorithm to train the model to predict probabilities based on feature vectors of URLs. An index of web pages is built for a set of URLs that identify the web pages. Feature vectors for the URLs are computed. Probabilities of the web pages of the URLs being searched in the future by users may be computed by processing the feature vectors with the trained model. The probabilities may be used to determine which of the URLs to include in the index.
    • 描述了索引建立的技术。 相应培训URL的点击次数可以指示在搜索引擎结果中点击相应的培训URL的次数。 在计算机上实现的机器学习算法计算然后存储的训练模型。 点击次数和相应的URL被传递到机器学习算法,以基于URL的特征向量来训练模型来预测概率。 网页索引是为一组识别网页的网址而构建的。 计算URL的特征向量。 可能由用户将来搜索的URL的网页的概率通过用训练模型处理特征向量来计算。 概率可用于确定要包括在索引中的URL。