Using different channel models for different training sequences

Pulse or digital communications – Equalizers – Automatic

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

06853681

ABSTRACT:
In a digital telecommunication receiver, one or more of a synchronization technique, a channel model, a channel estimation technique, and/or an equalization technique are selected in order to optimize the training sequence being used and eliminate distortions introduced by the receiver architecture. A combination of synchronization technique (e.g., standard correlation technique; center of gravity synchronization technique), channel model (e.g., standard channel model; channel model including a DC component) and number of channel taps L is selected to optimize the estimation characteristics for the training sequence being used in the telecommunication system.

REFERENCES:
patent: 5577024 (1996-11-01), Malkamaki et al.
patent: 0615352 (1994-09-01), None
patent: 0806852 (1997-11-01), None
patent: 1073302 (2001-09-01), None
patent: 2329796 (1999-03-01), None
patent: 2260068 (2001-01-01), None
RF and Microwave Circuit Design for Wireless Communicationsby E. Larson (Artech House Inc., Norwood, MA, USA, 1996).

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

Using different channel models for different training sequences does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Using different channel models for different training sequences, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using different channel models for different training sequences will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3501674

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