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    • 61. 发明申请
    • WIRELESS POSITIONING
    • 无线定位
    • US20150094086A1
    • 2015-04-02
    • US14399506
    • 2013-05-07
    • COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANISATION
    • Mark Hedley
    • G01S5/06
    • G01S5/06G01S5/0215G01S5/0221G01S5/0278
    • This disclosure concerns estimating the location of a transmitter using multiple pairs of locator nodes with known locations and measuring time of arrival of a signal received from a transmitter. A processor of a location estimation node first determines time difference of arrival values from time of arrival values measured by each pair of locator nodes. The processor then determines likelihood information for multiple candidate locations of the transmitter and estimates the location of the transmitter from the likelihood information. A processor further determines an initial time of arrival value for the received signal and channel impulse response for a radio channel between the transmitter and receiver. The processor then determines a time correction from the channel impulse response based on a first peak of the channel impulse response and a leading edge of the first value. The processor finally determines an improved time of arrival value of the received signal.
    • 本公开涉及使用具有已知位置的多对定位器节点估计发射​​机的位置并且测量从发射机接收的信号的到达时间。 位置估计节点的处理器首先确定由每对定位器节点测量的到达时间值的时间差值。 然后,处理器确定发射机的多个候选位置的似然信息,并根据似然信息估计发射机的位置。 处理器还确定接收信号的初始到达时间值和发射机与接收机之间的无线电信道的信道脉冲响应。 然后处理器基于信道脉冲响应的第一峰值和第一值的前沿确定来自信道脉冲响应的时间校正。 处理器最终确定接收信号的改进的到达时间值。
    • 62. 发明授权
    • Wi-Fi position fix
    • Wi-Fi定位
    • US08994590B2
    • 2015-03-31
    • US13249948
    • 2011-09-30
    • Murray JarvisBen Tarlow
    • Murray JarvisBen Tarlow
    • G01S5/14G01S5/02
    • G01S5/0278G01S5/02G01S5/14
    • A method of forming an estimate of the two-dimensional position of a radio receiver relative to a plurality of radio transmitters each having an associated position estimate and a position uncertainty expressible as an uncertainty ellipse having major and minor axes, the method comprising using the uncertainty vectors describing the uncertainty ellipses of the radio transmitters in a predetermined coordinate system to define a new compound coordinate basis, and forming an estimate of the two-dimensional position of the radio receiver in the compound coordinate basis by projecting the major and minor axes of each uncertainty ellipse onto the new compound coordinate basis and calculating the position of the radio receiver by means of a weighted centroid that uses weighting values calculated in the new compound coordinate basis and position estimates of the plurality of the radio transmitters expressed in the compound coordinate basis.
    • 一种形成无线电接收机相对于具有关联位置估计的多个无线电发射机的二维位置的估计的方法,以及可表示为具有主轴和短轴的不确定椭圆的位置不确定性的方法,所述方法包括使用不确定性 描述在预定坐标系中的无线电发射机的不确定性椭圆的矢量,以定义新的复合坐标基础,以及通过将每个无线电接收机的主轴和短轴投影在复合坐标基础上形成无线电接收机的二维位置的估计 不确定椭圆形到新的复合坐标基础上,并且通过使用以复合坐标为基础计算的加权值和以复合坐标为基础表示的多个无线电发射机的位置估计的加权质心来计算无线电接收机的位置。
    • 64. 发明申请
    • PROVIDING TRANSIT INFORMATION
    • 提供交通信息
    • US20150073703A1
    • 2015-03-12
    • US14502104
    • 2014-09-30
    • Apple Inc.
    • François M. JouauxRama Krishna ChittaLukas M. MartiMichael P. Dal SantoRonald Keryuan Huang
    • G01C21/34H04W4/02
    • H04W4/028G01C21/34G01S5/0278G01S5/0294H04W4/023H04W4/029H04W64/00H04W88/005
    • Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.
    • 用于通过人群来确定过境路线的方法,系统和计算机程序产品,用于确定在给定位置处的运输路线的车辆的估计到达时间(ETA),并且用于向用户提供预测提醒以捕获 过境路线的车辆。 服务器接收关于用户设备检测到的无线信号源的信号源信息,包括有关某些设备检测到的第一无线信号源的信息。 服务器确定第一个无线信号源正在移动。 在确定信号源信息满足一个或多个选择标准之后,服务器确定第一无线信号源与公共交通路线相关联。 服务器存储将第一无线信号源与公共交通路线相关联的信息作为与公共交通路线对应的过境运动数据。
    • 66. 发明申请
    • System and Methods for Non-Parametric Technique Based Geolocation and Cognitive Sensor Activation
    • 基于非参数技术的地理位置和认知传感器激活的系统和方法
    • US20150009072A1
    • 2015-01-08
    • US14014988
    • 2013-08-30
    • ROCKWELL COLLINS INC
    • Yogesh Anil Nijsure
    • G01S3/14
    • G01S5/0215G01S5/0278G01S5/28
    • The present invention relates to a geolocation system and method for a multi-path environment. The geolocation system comprises one or more emitters (201a . . . 201n), one or more sensors (202a . . . 202n) comprising at least one processor. A first processor (204) estimates angle of arrival (AOA) and time of arrival (TOA) from the signals received from said one or more emitters (201a . . . 201n). A second processor (205) determines clusters based on the (AOA) and (TOA) data. The system also comprises a central node (207) in communication with at least one sensor (202a . . . 202n) and configured to estimate geolocation of one or more emitters (201a . . . 201n) wherein, said second processor (205) clusters data for the one or more emitters (201a . . . 201n) by executing a non-parametric Bayesian technique and said central node (207) utilizes hybrid angle of arrival-time difference of arrival (AOA-TDOA) technique to determine geolocation of each of the emitters (201a . . . 201n).
    • 本发明涉及一种用于多路径环境的地理定位系统和方法。 地理定位系统包括一个或多个发射器(201a ... 201n),包括至少一个处理器的一个或多个传感器(202a ... 202n)。 第一处理器(204)根据从所述一个或多个发射器(201a ... 201n)接收的信号估计到达角(AOA)和到达时间(TOA)。 第二处理器(205)基于(AOA)和(TOA)数据来确定簇。 该系统还包括与至少一个传感器(202a ... 202n)通信的中央节点(207),并被配置为估计一个或多个发射器(201a ... 201n)的地理位置,其中,所述第二处理器(205) 通过执行非参数贝叶斯技术对所述一个或多个发射器(201a ... 201n)的数据和所述中心节点(207)利用到达时间到达差异(AOA-TDOA)技术的混合角来确定每个 的发射体(201a ... 201n)。
    • 69. 发明申请
    • ASSOCIATING SIGNAL INTELLIGENCE TO OBJECTS VIA RESIDUAL REDUCTION
    • 通过残留减少相关信号智能对象
    • US20140270368A1
    • 2014-09-18
    • US14180439
    • 2014-02-14
    • Raytheon Company
    • Geoffrey M. GuisewiteRobert J. ColeThomas P. Deardorff
    • G06K9/32G06T7/20
    • G01C11/04G01S3/7864G01S5/0278G01S5/14G06F17/30241G06F17/30811G06T7/20
    • Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.
    • 这里通常讨论的是配置为将SIGNAL INTelligence(SIGINT)信号与对象或轨迹相关联的技术的系统和装置。 根据一个示例,技术可以包括估计来自多个移动发射机中的每一个的第一信号的多个收集器中的每一个的到达时间(ToAs),每个第一信号从从视频数据提取的轨迹上的发射机发送, 在所述多个收集器处接收,其中所述多个收集器中的每一个的位置是已知的,将每个估计的ToA与在每个收集器处接收的SIGINT信号的相应实际ToA进行比较,或者确定所述信号对应于 SIGINT信号,以确定SIGINT信号是否从对应的轨迹上的发射器发送。
    • 70. 发明授权
    • System and method for probabilistic WLAN positioning
    • 概率WLAN定位系统和方法
    • US08797899B2
    • 2014-08-05
    • US13335752
    • 2011-12-22
    • Vesa V. Ruuska
    • Vesa V. Ruuska
    • G01R31/08G06F11/00G08C15/00H04J1/16H04J3/14H04L1/00H04L12/26
    • G01S5/0278
    • This disclosure is directed to a wireless network node having position determination capabilities. The position of a node is determined using range measurements to other network nodes having known locations. Probability density functions modeling uncertainty factors are incorporated in the estimation algorithms to account for the dynamic nature of wireless network, including the relative motion of a node in the network. These probabilistic estimation techniques provide a solution in the form of an expectation value for the position of the network node and a variance that can be assessed to determine the validity of the position determination.
    • 本公开涉及具有位置确定能力的无线网络节点。 使用范围测量确定节点的位置到具有已知位置的其他网络节点。 概率密度函数建模不确定因素被纳入到估计算法中,以考虑无线网络的动态特性,包括网络中节点的相对运动。 这些概率估计技术以网络节点的位置的期望值的形式提供解决方案,以及可以评估的方差来确定位置确定的有效性。