Likelihood-based geolocation prediction algorithms for CDMA...

Telecommunications – Radiotelephone system – Zoned or cellular telephone system

Reexamination Certificate

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C455S456500, C342S357490, C342S450000, C375S262000

Reexamination Certificate

active

06889053

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.

REFERENCES:
patent: 5933462 (1999-08-01), Viterbi et al.
patent: 6249252 (2001-06-01), Dupray
patent: 6263208 (2001-07-01), Chang et al.
patent: 6496701 (2002-12-01), Chen et al.
patent: 6564065 (2003-05-01), Chang et al.
patent: 20010022558 (2001-09-01), Karr et al.

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