Method of estimating a signal-to-interference+noise ratio (SINR) using data samples
    1.
    发明授权
    Method of estimating a signal-to-interference+noise ratio (SINR) using data samples 有权
    使用数据样本估计信噪比+噪声比(SINR)的方法

    公开(公告)号:US07453933B2

    公开(公告)日:2008-11-18

    申请号:US09848259

    申请日:2001-05-04

    IPC分类号: H04B3/46 H04B17/00 H04Q1/20

    CPC分类号: H04L27/18 H04B17/336 H04L1/20

    摘要: In the method of estimating a signal-to-interference+noise ratio (SINR), either the polarities or bit values of a plurality of received data symbol samples are estimated. Then an SINR estimate is generated based on the plurality of received data symbol samples and the estimated polarities or bit values of the plurality of received data symbol samples such that the SINR estimate is not substantially dependent on the polarities or a bit value of the plurality of received data symbol samples.

    摘要翻译: 在估计信号与干扰+噪声比(SINR)的方法中,估计多个接收数据符号采样的极性或位值。 然后基于多个接收的数据符号采样和多个接收的数据符号采样的估计的极性或位值产生SINR估计,使得SINR估计基本上不取决于多个接收数据符号采样的极性或位值 收到的数据符号样本。

    Likelihood-based geolocation prediction algorithms for CDMA systems using pilot strength measurements
    3.
    发明授权
    Likelihood-based geolocation prediction algorithms for CDMA systems using pilot strength measurements 有权
    基于使用导频强度测量的CDMA系统的基于似然的地理位置预测算法

    公开(公告)号:US06889053B1

    公开(公告)日:2005-05-03

    申请号:US09359648

    申请日:1999-07-26

    CPC分类号: H04W64/00 G01S5/0278

    摘要: The location of a mobile wireless communication unit in the service area of a CDMA communications system is predicted utilizing two likelihood functions that define maximum likelihood estimators of the mobile unit's location, based on attribute measurements, such as but not limited to pilot signal strength, being made at the location of the mobile unit and reported back to a base station. One of the likelihood functions comprises a frequentist likelihood function and the other comprises a Bayesian-modified likelihood function. The likelihood functions are based on the assumption that there is an RF model which provides the probability a mobile unit is able to detect one or more attributes associated with an arbitrary base station, given it is located at an arbitrary location within the service area. Each of the likelihoods are also incorporated into a sequential Bayesian procedure which outputs a posterior distribution indicative of the location of the mobile unit.

    摘要翻译: 基于诸如但不限于导频信号强度的属性测量,使用定义移动单元的位置的最大似然估计器的两个似然函数来预测移动无线通信单元在CDMA通信系统的服务区中的位置, 在移动单元的位置做出并且报告回到基站。 似然函数之一包括频率似然函数,另一个包括贝叶斯修正似然函数。 似然函数基于假设存在提供移动单元能够检测与任意基站相关联的一个或多个属性的概率的RF模型,假定它位于服务区域内的任意位置。 每个可能性也被并入到输出指示移动单元的位置的后验分布的顺序贝叶斯过程中。

    Geolocation estimation method for CDMA terminals based on pilot strength measurements
    4.
    发明授权
    Geolocation estimation method for CDMA terminals based on pilot strength measurements 有权
    基于导频强度测量的CDMA终端的地理位置估计方法

    公开(公告)号:US06263208B1

    公开(公告)日:2001-07-17

    申请号:US09321729

    申请日:1999-05-28

    IPC分类号: H04Q720

    CPC分类号: H04W64/00 G01S5/0252

    摘要: The location of a mobile unit in the service area of a CDMA wireless communications system is determined by a location probability distribution procedure that is based entirely on analytical results derived from an integrated model of the wireless communications system, its RF environment and attribute measurement. The mobile unit measures and reports attribute values of pilot signal strength of all pilot signals visible to the mobile unit at its present location, whereupon a location probability distribution is computed based on a Bayesian probability algorithm including a set of stored model parameters.

    摘要翻译: 在CDMA无线通信系统的服务区域中的移动单元的位置由完全基于从无线通信系统的集成模型,其RF环境和属性测量得到的分析结果的位置概率分布过程确定。 移动单元测量并报告移动单元在其当前位置可见的所有导频信号的导频信号强度的属性值,由此基于包括一组存储的模型参数的贝叶斯概率算法来计算位置概率分布。

    Method of estimating a signal-to-interference+noise ratio (SINR)
    5.
    发明授权
    Method of estimating a signal-to-interference+noise ratio (SINR) 有权
    估计信噪比+噪声比(SINR)的方法

    公开(公告)号:US07184497B2

    公开(公告)日:2007-02-27

    申请号:US09848411

    申请日:2001-05-04

    IPC分类号: H03D1/04 H03K7/06

    CPC分类号: H04B3/46 H04B17/26 H04B17/336

    摘要: In the method of estimating a signal-to-interference+noise ratio (SINR), an initial SINR estimate is generated based on a mean of a plurality of samples and a sample variance estimate of the plurality of samples. Then, the initial SINR estimate is scaled and translated. Furthermore, SINR estimates based on pilot symbols and data symbols, respectively, are combined to form a composite estimate.

    摘要翻译: 在估计信噪比噪声比(SINR)的方法中,基于多个样本的平均值和多个样本的样本方差估计,生成初始SINR估计。 然后,缩放和翻译初始SINR估计。 此外,分别基于导频符号和数据符号的SINR估计被组合以形成复合估计。

    Method for estimating offset for clocks at network elements
    7.
    发明授权
    Method for estimating offset for clocks at network elements 有权
    估计网络元件时钟偏移的方法

    公开(公告)号:US07257133B2

    公开(公告)日:2007-08-14

    申请号:US10261252

    申请日:2002-09-30

    IPC分类号: H04L7/00

    CPC分类号: H04J3/0667

    摘要: A new algorithm for clock offset estimation for resources distributed across a network (such as the Internet). By exchanging a sequence of time-stamped messages between pairs of network nodes and separately estimating variable delays for each message direction, present inventive embodiments provide more accurate estimates for clock offset between node pairs. Present inventive algorithms operate in a variety of peer and server network configurations while providing significant improvement in convergence speed and accuracy.

    摘要翻译: 用于分布在网络(如Internet)上的资源的时钟偏移估计的新算法。 通过在网络节点对之间交换时间戳消息序列并且单独估计每个消息方向的可变延迟,本发明实施例为节点对之间的时钟偏移提供更准确的估计。 本发明的算法在各种对等和服务器网络配置中运行,同时显着提高了收敛速度和精度。

    Nonparametric method for determination of anomalous event states in complex systems exhibiting non-stationarity
    8.
    发明授权
    Nonparametric method for determination of anomalous event states in complex systems exhibiting non-stationarity 有权
    用于确定呈现非平稳性的复杂系统中的异常事件状态的非参数方法

    公开(公告)号:US07620523B2

    公开(公告)日:2009-11-17

    申请号:US11742479

    申请日:2007-04-30

    IPC分类号: G06F11/30 G08B21/00

    摘要: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

    摘要翻译: 根据本公开的特征,提供了一种用于确定复杂系统中的异常事件的方法,例如问题,低效率和故障,并且提供了用于检测这些事件的工具。 许多复杂的系统是不稳定的,或者经历超出正常范围的值的周期性波动或尖峰,但是构成正常行为。 该方法考虑到非平稳性,以及波动和尖峰。 附加的新颖特征包括阈值设置初始化方法和用于确定事件的起始点和终点的回归方法。

    NONPARAMETRIC METHOD FOR DETERMINATION OF ANOMALOUS EVENT STATES IN COMPLEX SYSTEMS EXHIBITING NON-STATIONARITY
    9.
    发明申请
    NONPARAMETRIC METHOD FOR DETERMINATION OF ANOMALOUS EVENT STATES IN COMPLEX SYSTEMS EXHIBITING NON-STATIONARITY 有权
    用于确定复杂系统中异常事件状态的非线性方法展示非机构

    公开(公告)号:US20080270071A1

    公开(公告)日:2008-10-30

    申请号:US11742479

    申请日:2007-04-30

    IPC分类号: G06F17/18 G06F17/10

    摘要: According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.

    摘要翻译: 根据本公开的特征,提供了一种用于确定复杂系统中的异常事件的方法,例如问题,低效率和故障,并且提供了用于检测这些事件的工具。 许多复杂的系统是不稳定的,或者经历超出正常范围的值的周期性波动或尖峰,但是构成正常行为。 该方法考虑到非平稳性,以及波动和尖峰。 附加的新颖特征包括阈值设置初始化方法和用于确定事件的起始点和终点的回归方法。