| US 7,551,133 B2 | ||
| GPS navigation using interacting multiple model (IMM) estimator and probabilistic data association filter (PDAF) | ||
| Xiangdong Lin, Irvine, Calif. (US); Gengsheng Zhang, Cupertino, Calif. (US); Mangesh Chansarkar, Irvine, Calif. (US); Daniel Liao, Irvine, Calif. (US); and Lionel Garin, Palo Alto, Calif. (US) | ||
| Assigned to SiRF Technology, Inc., San Jose, Calif. (US) | ||
| Filed on Apr. 05, 2007, as Appl. No. 11/696,920. | ||
| Prior Publication US 2008/0246653 A1, Oct. 09, 2008 | ||
| Int. Cl. G01S 5/14 (2006.01); G01C 21/00 (2006.01) | ||
| U.S. Cl. 342—357.12 [701/213] | 16 Claims |

| 1. A method for performing GPS navigation in a GPS receiver, comprising:
providing a plurality of models of GPS navigation, each model characterized by a model state vector which is updated periodically;
providing for each model a corresponding probabilistic data association filter (PDAF) for deriving, for each periodic update,
a current value for the corresponding model state vector based on a current observation made on parameters affecting the corresponding
state vector, wherein each PDAF determines whether the current observation is a correct observation or a false observation
such that each PDAF updates the corresponding model state vector if the current observation is a correct observation and does
not update the corresponding model state vector if the current observation is a false observation; and
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 PDAFs.
|