| Patent application number | Description | Published |
| 20080234933 | Systems and Methods for Detecting a Vehicle Static Condition - Systems and methods for detecting a vehicle static condition are provided. In this regard, a representative system includes a sensor operative to detect at least one of acceleration and angular rate of a vehicle. The sensor is further operative to generate a vehicle vibration profile based on the at least one of the detected acceleration and angular rate of the vehicle. The system further includes a computing device operative to receive the vehicle vibration profile from the sensor, the computing device being further operative to determine whether the vehicle is stationary or moving based on the vehicle vibration profile. A representative method for detecting a vehicle static condition includes detecting at least one of acceleration and angular grade of a vehicle; generating a vehicle vibration profile based on at least one of the detected acceleration and angular grade of the vehicle; receiving the vehicle vibration profile; and determining whether the vehicle is stationary or moving based on the vehicle vibration profile. | 09-25-2008 |
| 20080238765 | Satellite Clock Prediction - Devices and methods are described for determining position information without broadcast ephemeris data for a spanned time period using predictions of future satellite states. These predictions include predictions of satellite clock bias. During the spanned time period, broadcast ephemeris is received such that a broadcast-ephemeris-derived satellite clock bias may be determined. The predictions of satellite clock bias subsequent to the receipt of the broadcast ephemeris may then be corrected based upon the broadcast-ephemeris-derived satellite clock bias. | 10-02-2008 |
| 20080246653 | GPS NAVIGATION USING INTERACTING MULTIPLE MODEL (IMM) ESTIMATOR AND PROBABILISTIC DATA ASSOCIATION FILTER (PDAF) - A method for GPS navigation which uses an interacting multiple-model (IMM) estimator with a probabilistic data association filter (PDAF) improves navigation performance. The method includes (a) providing two or more models of GPS navigation, with each model characterized by a model state vector which is updated periodically, (b) providing for each model a corresponding filter for deriving, for each period, a current value for the corresponding model state vector based on current measurements made on parameters affecting the corresponding state vector; and (c) applying an interacting multiple model (IMM) estimator to provide, for each period, a current value for a system state vector using the current values of the model state vectors for that period and their corresponding filters. Each model state vector may include one or more of the following: variables: 3-dimensional position, 3-dimensional velocity, satellite clock bias, satellite clock drifts and one or more other satellite parameters. The current value of the system state vector may be a weighted average of the current values of the model state vectors, where the weights are a set of mode probabilities. In addition, one or more of the filters is a probabilitic data association filter (PDAF). | 10-09-2008 |
| 20090040103 | Control and features for satellite positioning system receivers - Control and feature systems for processing signals from a satellite positioning system include an expert system receiver manager; a joint detection, carrier centering and bit sync acquisition subsystem; peak detection; a multi-dimensional measurement interpolation subsystem; a subsystem for mode switching between a navigational signal; and power control module for a receiver. | 02-12-2009 |
| 20090219198 | Global Positioning System Receiver Timeline Management - Satellite positioning system (SATPS) receiver that has a plurality of modes and channels, where a timeline module configures the channels based on the mode of operation of the SATPS receiver and reconfigures the channels if the mode of operation of the SATPS changes. | 09-03-2009 |
| 20100232351 | UTILIZING SBAS SIGNALS TO IMPROVE GNSS RECEIVER PERFORMANCE - The present invention provides methods of improving GNSS receivers' satellite signal acquisition and TIFF performances by taking advantage of SBAS signals. Due to a SBAS satellite's geostationary position and typically strong signal, the SBAS satellite signal can be acquired more quickly than a GPS satellite signal. Once a SBAS satellite signal is acquired the Doppler frequency search uncertainty may be reduced for remaining GNSS satellites which are to be acquired. Furthermore, a satellite search list may be optimized to search for satellites close to the line of sight (LOS) of the SBAS satellite for which a signal has been acquired, in receiver “warm” and “hot” start modes. Moreover, since a SBAS signal sub-frame is only one second long, which is shorter than six seconds for a GPS signal sub-frame, synchronization of the SBAS signal sub-frame may be achieved faster than for GPS signals. With aided time information, a receiver may compute the absolute time of week (TOW) from a sub-frame synchronized SBAS signal. Therefore, without necessarily waiting for TOW to be decoded from a GPS signal and with TOW extracted from a SBAS signal, a receiver can achieve better TTFF performance. | 09-16-2010 |
| 20110059752 | Concurrent Wireless Transmitter Mapping And Mobile Station Positioning - The subject matter disclosed herein relates to concurrently estimating locations for one or more mobile stations and one or more wireless transmitters. | 03-10-2011 |
| 20110178708 | USING OBJECT TO ALIGN AND CALIBRATE INERTIAL NAVIGATION SYSTEM - The initialization of an inertial navigation system is performed using information obtained from an image of an object. Positional and orientational information about the object in a global reference frame and positional and orientational information about the camera relative to the object are obtained from the image. Positional and orientational information for the camera in the global reference frame is determined along with a transformation matrix between inertial sensor reference frame and a navigation coordinate frame. The inertial navigation system is initialized using the positional and orientational information for the camera, the transformation matrix and the velocity of the camera when the object was imaged, i.e., zero. Using the initialized data with measurements from the inertial sensors the position of the mobile platform may be updated during navigation and provided, e.g., on a digital map. Inertial navigation errors may be corrected using information obtained from images of different objects. | 07-21-2011 |