Abstract:
PROBLEM TO BE SOLVED: To determine an error generated by multi-passing and to improve error estimation. SOLUTION: A database is established in which the amount of error estimated for particular pseudo range measurements to a beacon is maintained. Clusters are defined. Each cluster is associated with a range of values for the selected parameter. Pseudo range measurements are then associated with a particular cluster based upon the value of the selected parameter at the time (or proximate to the time) the pseudo range measurement was taken. As more estimates of the pseudo range measurements are made, the size of the clusters (i.e., the range of values of the selected parameter) can be reduced. Due to the correlation between the selected parameter and the errors in the pseudo range measurements, reducing the size of the clusters reduces the variance of the error estimates. The mean value of the error estimates is used to correct the error in future pseudo range measurements. COPYRIGHT: (C)2008,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To calculate the position of a pseudo range receiving device by using inaccurate information (e.g., the old Almanac and/or Ephemeris). SOLUTION: The pseudo range receiving device estimates a coarse position by using inaccurate information related to a position of a GPS satellite (e.g., the old Almanac and/or Ephemeris). The result of the estimated coarse position is sent to a position determination device along with the inaccurate information used for the position calculation, and corrections to the coarse position estimation of the pseudo range receiving device are made based upon an error present in the used inaccurate information. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To improve error estimation in position determination measurements by determining the errors which have occurred due to multipathing. SOLUTION: A database is established, and the amount of error estimated for particular pseudo-range measurements with respect to a beacon is maintained in the database. Clusters are set. Each cluster is associated with a range of values for the parameters selected. Pseudo-range measurements are then associated with a particular cluster, based on the value of the selected parameter at the time (or proximate to the time) the pseudo-range measurement was taken. As more estimates for the pseudo-range measurements are made, the size of the clusters (i.e., the range of values of the selected parameters) can be reduced. Due to the correlation between the selected parameters and the errors in the pseudo-range measurements, reducing the size of the clusters makes the variance of the error estimates smaller. The mean value of the error estimates is used to correct the error in future pseudo-range measurements. COPYRIGHT: (C)2008,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To improve error estimation in position determination measurements by determining the errors which have occurred due to multipathing. SOLUTION: A database is established, and the amount of error estimated for particular pseudo-range measurements with respect to a beacon is maintained in the database. Clusters are set. Each cluster is associated with a range of values for the parameters selected. Pseudo-range measurements are then associated with a particular cluster based, upon the value of the selected parameter at the time (or proximate to the time) the pseudo-range measurement was taken. As more estimates for the pseudo-range measurements are made, the size of the clusters (i.e., the range of values of the selected parameters) can be reduced. Due to the correlation between the selected parameters and the errors in the pseudo-range measurements, reducing the size of the clusters makes the variance of the error estimates smaller. The mean value of the error estimates is used to correct the error in future pseudo-range measurements. COPYRIGHT: (C)2008,JPO&INPIT
Abstract:
Techniques for determining the location of a device based on an initial coarse position estimate for the device, which is derived based on initial (less accurate) estimates of the position of a plurality of transmitters. In one method, the coarse position estimate for the device and revised (more accurate) position estimates for the transmitters are received. A revised position estimate for the device is initialized (e.g., to the coarse position estimate). An update vector is next computed based on the initial and revised position estimates for the device and the initial and revised position estimates for the transmitters. The revised position estimate for the device is then updated based on the update vector. The computation for the update vector and the updating of the revised position estimate for the device can be repeated a number of times to achieve a more and more accurate estimate.
Abstract:
Techniques for determining the location of a device based on an initial coarse position estimate for the device, which is derived based on initial (less accurate) estimates of the position of a plurality of transmitters. In one method, the coarse position estimate for the device and revised (more accurate) position estimates for the transmitters are received. A revised position estimate for the device is initialized (e.g., to the coarse position estimate). An update vector is next computed based on the initial and revised position estimates for the device and the initial and revised position estimates for the transmitters. The revised position estimate for the device is then updated based on the update vector. The computation for the update vector and the updating of the revised position estimate for the device can be repeated a number of times to achieve a more and more accurate estimate.
Abstract:
A method and apparatus that allows correlations between a selected parameter and the error in a pseudo range measurement to be exploited. A database is established in which the amount of error estimated for particular pseudo range measurements to a beacon is maintained. Clusters are defined. Each cluster is associated with a range of values for the selected parameter. Pseudo range measurements are then associated with a particular cluster based upon the value of the selected parameter at the time (or proximate to the time) the pseudo range masurement was taken. As more estimates of the pseudo range measurements are made, the size of the clusters (i.e., the range of values of the selected parameter) can be reduced. Due to the correlation between the selected parameter and the errors in the pseudo range measurements, reducing the size of the clusters reduces the variance of the error estimates. The mean value of the error estimates is used to correct the error in future pseudo range measurements.
Abstract:
A method and system that enables multiplexing a plurality of data streams onto one data stream based on data stream priorities, available transport format combinations (TFCs), and transmission time interval (TTI) constraints of transport frames within the TFCs is disclosed. A subscriber unit (12) has applications that produce separate data streams. Example applications include voice (32), signalling (34), E-mail (36) and web applications (38). The data streams are combined by a multiplexer module (48) into one data stream called the transport stream (50). The transport stream (50) is sent over the reverse link to base station transceivers (BTS) (14). The multiplexer module (48) multiplexes the data streams onto a single stream according to available TFCs, TTI constraints, data stream priorities, and current maximum transmitter power constraints.
Abstract:
A method and apparatus that allows correlations between a selected parameter and the error in a pseudo range measurement to be exploited. A database is established in which the amount of error estimated for particular pseudo range measurements to a beacon is maintained. Clusters are defined. Each cluster is associated with a range of values for the selected parameter. Pseudo range measurements are then associated with a particular cluster based upon the value of the selected parameter at the time (or proximate to the time) the pseudo range masurement was taken. As more estimates of the pseudo range measurements are made, the size of the clusters (i.e., the range of values of the selected parameter) can be reduced. Due to the correlation between the selected parameter and the errors in the pseudo range measurements, reducing the size of the clusters reduces the variance of the error estimates. The mean value of the error estimates is used to correct the error in future pseudo range measurements.
Abstract:
A method for calculating an accurate position estimate based on a coarse position estimate is provided. First, the coarse position estimate and information that indicates what data was used for calculating the coarse position estimate are received. Then a correction to the coarse position estimate is calculated based on the coarse position estimate and the data used to calculate the coarse position estimate.