Method and apparatus for covariance matrix estimation in a weigh

Data processing: vehicles – navigation – and relative location – Navigation – Employing position determining equipment

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

701213, 701216, 342457, 342357, 342446, 73178R, G06G 778, G01S 302

Patent

active

058842152

ABSTRACT:
Signals exchanged between a fixed infrastructure (110-116) and a mobile unit (160) give rise to M channel quality metrics. The channel quality metrics are mapped, via predetermined relationships (501-503), in to M corresponding time of arrival variances, which in turn are used to derive M-1 time of arrival differential variances. A time of arrival differential weighting matrix including, in part, the time of arrival differential variances, is used to calculate a WLS solution, which solution is an estimate of a location of the mobile unit. This procedure may be implemented using an infrastructure-based location processor (130) operating in conjunction with the mobile unit, or may be performed by either the location processor or mobile unit alone.

REFERENCES:
patent: 5202829 (1993-04-01), Geier
patent: 5416712 (1995-05-01), Geier et al.
patent: 5436632 (1995-07-01), Sheynblat
patent: 5450448 (1995-09-01), Shynblat
patent: 5525998 (1996-06-01), Geier
patent: 5563917 (1996-10-01), Sheynblat
patent: 5583517 (1996-12-01), Yokev et al.
patent: 5587716 (1996-12-01), Sheynblat
patent: 5592180 (1997-01-01), Yokev et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and apparatus for covariance matrix estimation in a weigh does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and apparatus for covariance matrix estimation in a weigh, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for covariance matrix estimation in a weigh will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-826806

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.