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    • 25. 发明申请
    • Blind SIR Estimation Using Soft Bit Values
    • 使用软位值进行盲目SIR估计
    • US20110206107A1
    • 2011-08-25
    • US12709294
    • 2010-02-19
    • Gregory E. BottomleyAnders RosenqvistAndres Reial
    • Gregory E. BottomleyAnders RosenqvistAndres Reial
    • H04L27/06H04B17/00
    • H04B17/336
    • An SIR estimate of a communication signal in a wireless communication system receiver is calculated based on soft bit values output by a nonlinear detector. The average amplitude of the detector output soft bits is estimated. The average power of the detector output soft bits is estimated, e.g., as a mean-square or variance. An SIR of the communication signal is estimated based on the soft bit amplitude and power estimates. In particular, the SIR is estimated as the ratio of the square of soft bit amplitude to the difference between the mean square soft bit power and the square of soft bit amplitude, or the ratio of the square of soft bit amplitude to the variance. In either case, the SIR estimate may be scaled to obtain the desired units. The communication signal may be a received signal, or a simulated signal generated using channel estimates obtained from, e.g., a pilot channel.
    • 基于由非线性检测器输出的软比特值来计算无线通信系统接收机中的通信信号的SIR估计。 估计检测器输出软比特的平均幅度。 估计检测器输出软比特的平均功率例如作为均方或方差。 基于软比特幅度和功率估计来估计通信信号的SIR。 特别地,SIR被估计为软比特幅度的平方与平均软比特功率和软比特幅度的平方之间的差或软比特幅度的平方与差异的比的比率。 在任一情况下,可以缩放SIR估计以获得所需单位。 通信信号可以是接收信号,或使用从例如导频信道获得的信道估计而产生的模拟信号。
    • 26. 发明申请
    • Method and Apparatus for Received Signal Processing in a Wireless Communication Receiver
    • 无线通信接收机接收信号处理方法及装置
    • US20110179339A1
    • 2011-07-21
    • US12688404
    • 2010-01-15
    • Anders Rosenqvist
    • Anders Rosenqvist
    • H03M13/45G06F11/10H04L27/06
    • H04L25/03006
    • According to one aspect of the teachings presented in this document, a wireless communication receiver implements a form of joint detection that is referred to as “fast joint detection” (FJD). A receiver that is specially adapted to carry out FJD processing provides an advantageous approach to joint detection processing wherein the number of computations needed to produce reliable soft bits, for subsequent turbo decoding and/or other processing, is significantly reduced. Further, the algorithms used in the implementation of FJD processing are particularly well suited for parallelization in dedicated signal processing hardware. Thus, while FJD processing is well implemented via programmable digital processors, it also suits applications where high-speed, dedicated signal processing hardware is needed or desired.
    • 根据本文献中提出的教导的一个方面,无线通信接收机实现被称为“快速关节检测”(FJD)的联合检测形式。 专门用于执行FJD处理的接收机提供了联合检测处理的有利方法,其中显着地减少了用于后续turbo解码和/或其他处理产生可靠软比特所需的计算次数。 此外,在执行FJD处理中使用的算法特别适用于专用信号处理硬件中的并行化。 因此,虽然FJD处理通过可编程数字处理器很好地实现,但它也适用于需要或期望高速,专用信号处理硬件的应用。
    • 28. 发明授权
    • Method and apparatus for interference suppression using a reduced-complexity joint detection
    • 使用降低复杂度的联合检测的干扰抑制方法和装置
    • US08744026B2
    • 2014-06-03
    • US12903836
    • 2010-10-13
    • Anders RosenqvistNiklas AndgartBo Bernhardsson
    • Anders RosenqvistNiklas AndgartBo Bernhardsson
    • H04B1/10
    • H04L25/023H04L25/03305H04L2025/03401H04L2025/03414H04L2025/0342H04L2025/03426
    • A method of detecting a desired signal within a composite signal provides for suppression of interfering signal(s). The method, implemented in a wireless communication apparatus, for example, includes receiving the composite signal and obtaining sample values therefrom. At least some of the sample values include desired and interfering signal components. The method further includes generating an interfering signal channel estimate by: forming sample pairs for some or all of the sample values; identifying sample pairs of interest as those sample pairs in which the interfering signal component is the same; and calculating the interfering signal channel estimate as an average value determined from one or more of the sample pairs of interest. The method further includes detecting desired signal symbols from the composite signal in a joint detection process that functionally depends on the interfering signal channel estimate.
    • 在复合信号内检测期望信号的方法提供了抑制干扰信号。 例如,在无线通信装置中实现的方法包括接收复合信号并从中获取样本值。 至少一些样本值包括期望的和干扰的信号分量。 该方法还包括:通过以下方式产生干扰信号信道估计:为样本值的某些或全部形成样本对; 将感兴趣的样本对识别为其中干扰信号分量相同的样本对; 以及将干扰信号信道估计值计算为从感兴趣的一个或多个样本对确定的平均值。 该方法还包括在功能上取决于干扰信号信道估计的联合检测过程中从复合信号中检测所需信号符号。
    • 29. 发明授权
    • Blind SIR estimation using soft bit values
    • 使用软比特值进行盲目SIR估计
    • US08442169B2
    • 2013-05-14
    • US12709294
    • 2010-02-19
    • Gregory E. BottomleyAnders RosenqvistAndres Reial
    • Gregory E. BottomleyAnders RosenqvistAndres Reial
    • H03D11/04
    • H04B17/336
    • An SIR estimate of a communication signal in a wireless communication system receiver is calculated based on soft bit values output by a nonlinear detector. The average amplitude of the detector output soft bits is estimated. The average power of the detector output soft bits is estimated, e.g., as a mean-square or variance. An SIR of the communication signal is estimated based on the soft bit amplitude and power estimates. In particular, the SIR is estimated as the ratio of the square of soft bit amplitude to the difference between the mean square soft bit power and the square of soft bit amplitude, or the ratio of the square of soft bit amplitude to the variance. In either case, the SIR estimate may be scaled to obtain the desired units. The communication signal may be a received signal, or a simulated signal generated using channel estimates obtained from, e.g., a pilot channel.
    • 基于由非线性检测器输出的软比特值来计算无线通信系统接收机中的通信信号的SIR估计。 估计检测器输出软比特的平均幅度。 估计检测器输出软比特的平均功率例如作为均方或方差。 基于软比特幅度和功率估计来估计通信信号的SIR。 特别地,SIR被估计为软比特幅度的平方与平均软比特功率和软比特幅度的平方之间的差或软比特幅度的平方与差异的比的比率。 在任一情况下,可以缩放SIR估计以获得所需单位。 通信信号可以是接收信号,或使用从例如导频信道获得的信道估计而产生的模拟信号。
    • 30. 发明申请
    • Covariance Factor Matrix Reuse
    • 协方差矩阵重用
    • US20120076248A1
    • 2012-03-29
    • US12893001
    • 2010-09-29
    • Anders Rosenqvist
    • Anders Rosenqvist
    • H03D1/04
    • H04B1/712H04B2201/709727
    • A method and apparatus for reducing the computational load associated with computing weighting factors for wireless signals received at a wireless receiver is disclosed herein. The method and apparatus reuses a covariance factor matrix to compute multiple sets of weighting factors for multiple received signals. Particular embodiments factor a covariance matrix determined for a first received signal to determine a covariance factor matrix, and use the covariance factor matrix to determine a set of weighting factors for the first received signal as well as to determine additional sets of weighting factors for one or more additional received signals. The different received signals may be associated with different times, different channelization codes, and/or different frequencies. The weighting factors may be used to weight and combine received signals in a GRAKE receiver or chip equalizer. The weighting factors may also be used to determine a signal quality metric.
    • 本文公开了一种用于减少与在无线接收器处接收的无线信号的计算加权因子相关联的计算负荷的方法和装置。 该方法和装置重新使用协方差因子矩阵来计算多个接收信号的多组加权因子。 特定实施例考虑为第一接收信号确定的协方差矩阵以确定协方差因子矩阵,并且使用协方差因子矩阵来确定用于第一接收信号的一组加权因子,以及确定一组或多个加权因子 更多的附加信号。 不同的接收信号可以与不同的时间,不同的信道化码和/或不同的频率相关联。 加权因子可用于在GRAKE接收机或码片均衡器中对接收到的信号进行加权和组合。 加权因子也可以用于确定信号质量度量。