Likelihood-based geolocation prediction algorithms for CDMA systems using pilot strength measurements
US6889053B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 1999 |
| Grant date | May 3, 2005 |
| Priority date | — |
| Expiry date | Jul 26, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S5/0278
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The location of a mobile wireless communication unit in the service area of a CDMA communications system is predicted utilizing two likelihood functions that define maximum likelihood estimators of the mobile unit's location, based on attribute measurements, such as but not limited to pilot signal strength, being made at the location of the mobile unit and reported back to a base station. One of the likelihood functions comprises a frequentist likelihood function and the other comprises a Bayesian-modified likelihood function. The likelihood functions are based on the assumption that there is an RF model which provides the probability a mobile unit is able to detect one or more attributes associated with an arbitrary base station, given it is located at an arbitrary location within the service area. Each of the likelihoods are also incorporated into a sequential Bayesian procedure which outputs a posterior distribution indicative of the location of the mobile unit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.