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    • 2. 发明授权
    • Packet detection and coarse symbol timing for rotated differential M-ary PSK modulated preamble signal
    • 分组检测和用于旋转差分M-ary PSK调制前同步码信号的粗符号定时
    • US08630374B2
    • 2014-01-14
    • US12881924
    • 2010-09-14
    • June Chul RohAnuj BatraSrinath Hosur
    • June Chul RohAnuj BatraSrinath Hosur
    • H03D3/22
    • H04L27/227H04L7/042H04L7/10H04L27/2071H04L27/2078H04L2027/0038H04L2027/0095
    • A packet detection and coarse symbol timing recovery system for preamble signal modulated with rotated differential M-ary phase shift key (PSK) modulation includes a differential detection unit, to provide a symbol signal responsive to a received signal. A preamble sequence correlator performs a preamble sequence correlation on the symbol signal to produce a correlator signal. A metric calculation unit performs a metric calculation on the correlator signal to produce a metric. A packet detection unit determines that a packet is detected and produces a sample index. A coarse symbol timing unit finds a peak of the calculated metric signal outputs a sample index for the peak as coarse symbol timing information. The sample indexes are used in processing a physical layer convergence procedure (PLCP) header and physical layer service data unit (PSDU) block.
    • 用于利用旋转的差分M相移键(PSK)调制调制的前同步信号的分组检测和粗略符号定时恢复系统包括差分检测单元,以响应于接收到的信号提供符号信号。 前序序列相关器在符号信号上执行前同步码序列相关,以产生相关器信号。 度量计算单元对相关器信号执行度量计算以产生度量。 分组检测单元确定检测到分组并产生样本索引。 粗略符号定时单元发现所计算的度量信号的峰值将峰值的采样索引作为粗略符号定时信息输出。 样本索引用于处理物理层收敛过程(PLCP)头和物理层服务数据单元(PSDU)块。
    • 8. 发明授权
    • Low-complexity tightly-coupled integration filter for sensor-assisted GNSS receiver
    • 用于传感器辅助GNSS接收机的低复杂度紧耦合集成滤波器
    • US08380433B2
    • 2013-02-19
    • US12568084
    • 2009-09-28
    • June Chul RohDeric W. WatersSrinath HosurGoutam Dutta
    • June Chul RohDeric W. WatersSrinath HosurGoutam Dutta
    • G01C21/10H04B7/185
    • G01S19/47G01C21/165G01C21/28G01C22/006G06F17/16
    • Embodiments of the invention provide a blending filter based on extended Kalman filter (EKF), which optimally integrates the IMU navigation data with all other satellite measurements tightly-coupled integration filter. This blending filter can be easily implemented with minor modification to the position engine of stand-alone GNSS receiver. Provided is a low-complexity tightly-coupled integration filter for sensor-assisted global navigation satellite system (GNSS) receiver. The inertial measurement unit (IMU) contains inertial sensors such as accelerometer, magnetometer, and/or gyroscopes Embodiments also include method for pedestrian dead reckoning (PDR) data conversion for ease of GNSS/PDR integration. The PDR position data is converted to user velocity measured at the time instances where GNSS position/velocity estimates are available.
    • 本发明的实施例提供了一种基于扩展卡尔曼滤波器(EKF)的混合滤波器,其将IMU导航数据与所有其他卫星测量紧密耦合的积分滤波器进行最佳集成。 这种混合滤波器可以通过对独立GNSS接收机的位置引擎的微小修改来轻松实现。 提供了用于传感器辅助的全球导航卫星系统(GNSS)接收机的低复杂度紧耦合集成滤波器。 惯性测量单元(IMU)包含诸如加速度计,磁力计和/或陀螺仪的惯性传感器。实施例还包括用于容易进行GNSS / PDR集成的行人航位推算(PDR)数据转换的方法。 PDR位置数据被转换成在GNSS位置/速度估计可用的时间点测量的用户速度。
    • 9. 发明申请
    • LOW-COMPLEXITY TIGHTLY-COUPLED INTEGRATION FILTER FOR SENSOR-ASSISTED GNSS RECEIVER
    • 用于传感器辅助GNSS接收机的低复杂度轻耦合滤波器
    • US20100079334A1
    • 2010-04-01
    • US12568084
    • 2009-09-28
    • June Chul RohEric W. WatersSrinath HosurGoutam Dutta
    • June Chul RohEric W. WatersSrinath HosurGoutam Dutta
    • G01S19/47G01P15/14
    • G01S19/47G01C21/165G01C21/28G01C22/006G06F17/16
    • Embodiments of the invention provide a blending filter based on extended Kalman filter (EKF), which optimally integrates the IMU navigation data with all other satellite measurements tightly-coupled integration filter. This blending filter can be easily implemented with minor modification to the position engine of stand-alone GNSS receiver. Provided is a low-complexity tightly-coupled integration filter for sensor-assisted global navigation satellite system (GNSS) receiver. The inertial measurement unit (IMU) contains inertial sensors such as accelerometer, magnetometer, and/or gyroscopes Embodiments also include method for pedestrian dead reckoning (PDR) data conversion for ease of GNSS/PDR integration. The PDR position data is converted to user velocity measured at the time instances where GNSS position/velocity estimates are available.
    • 本发明的实施例提供了一种基于扩展卡尔曼滤波器(EKF)的混合滤波器,其将IMU导航数据与所有其他卫星测量紧密耦合的积分滤波器进行最佳集成。 这种混合滤波器可以通过对独立GNSS接收机的位置引擎的微小修改来轻松实现。 提供了用于传感器辅助的全球导航卫星系统(GNSS)接收机的低复杂度紧耦合集成滤波器。 惯性测量单元(IMU)包含诸如加速度计,磁力计和/或陀螺仪的惯性传感器。实施例还包括用于容易进行GNSS / PDR集成的行人航位推算(PDR)数据转换的方法。 PDR位置数据被转换成在GNSS位置/速度估计可用的时间点测量的用户速度。
    • 10. 发明授权
    • Fine symbol timing estimation
    • 精细符号定时估计
    • US08472569B2
    • 2013-06-25
    • US12961271
    • 2010-12-06
    • June Chul RohSrinath HosurTimothy M. Schmidl
    • June Chul RohSrinath HosurTimothy M. Schmidl
    • H03D1/00H04L27/06
    • H04L27/205H04L27/2335
    • Systems and methods for fine symbol timing estimation are disclosed herein. In one embodiment, a wireless receiver includes a differential detector, a correlator, a coarse symbol timing estimator, and a fine symbol timing estimator. The differential detector is configured to detect phase differences in a received preamble signal modulated using differential phase shift keying. The correlator is configured to correlate symbol values output by the differential detector against a reference sequence. The coarse symbol timing estimator is configured to generate a coarse symbol timing estimate, and to generate a coarse timing sample symbol index value corresponding to the coarse symbol timing estimate. The fine symbol timing estimator is configured to generate a fine symbol timing estimate that is more accurate than the coarse symbol timing estimate based on the coarse timing sample symbol index value and correlation samples at index values preceding and succeeding the coarse timing sample index value.
    • 本文公开了用于精细符号定时估计的系统和方法。 在一个实施例中,无线接收机包括差分检测器,相关器,粗略符号定时估计器和精细符号定时估计器。 差分检测器被配置为检测使用差分相移键控调制的接收前导信号中的相位差。 相关器被配置为将由差分检测器输出的符号值与参考序列相关联。 粗略符号定时估计器被配置为产生粗略符号定时估计,并且生成与粗略符号定时估计对应的粗定时采样符号索引值。 精细符号定时估计器被配置为基于粗略定时样本符号索引值和在粗略定时样本索引值之前和之后的索引值处的相关样本,生成比粗略符号定时估计更精确的精细符号定时估计。