Equalize training method using re-encoded bits and known...

Pulse or digital communications – Equalizers – Automatic

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C375S350000

Reexamination Certificate

active

07903728

ABSTRACT:
Equalizer training method using re-encoded bits and known training sequences. A multi-branch equalizer processing module is operable to cancel interference associated with received radio frequency (RF) burst(s) (e.g., using at least a first equalizer processing branch and a second equalizer processing branch). The first equalizer processing branch is operable to be trained based upon known training sequences and to equalize the received RF burst. The second equalizer processing branch uses at least partially re-encoded data bits to train linear equalizer(s) within the second equalizer processing branch. A buffer may initially store the received RF burst(s), which are retrieved and equalized by the second equalizer processing branch once the linear equalizer(s) are trained. The cooperation operation of these and other various components allows interfering signals to be cancelled and for more accurate processing of the received RF bursts to occur.

REFERENCES:
patent: 5274670 (1993-12-01), Serizawa et al.
patent: 6690739 (2004-02-01), Mui
patent: 6782046 (2004-08-01), Ling et al.
patent: 2003/0112861 (2003-06-01), Erdogan et al.
patent: 2003/0123583 (2003-07-01), Yellin et al.
patent: 2009/0175327 (2009-07-01), Chen 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

Equalize training method using re-encoded bits and known... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Equalize training method using re-encoded bits and known..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Equalize training method using re-encoded bits and known... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2730448

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