The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 27, 2005

Filed:

Feb. 20, 2001
Applicants:

Moshe Tarrab, Holon, IL;

Mark Elnekave, Ramat Gan, IL;

Jacob Tokar, Ashdod, IL;

Eran Pisek, Holon, IL;

Inventors:

Moshe Tarrab, Holon, IL;

Mark Elnekave, Ramat Gan, IL;

Jacob Tokar, Ashdod, IL;

Eran Pisek, Holon, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L023/02 ; H04L005/12 ;
U.S. Cl.
CPC ...
Abstract

A device and method for performing SISO decoding. The method comprising the steps of: (a) providing a trellis representative of an output of a convolutional encoder, the convolutional encoder has a coding rate of R, the trellis having a block length T. (b) assigning an initial conditions to each starting node of the trellis for a forward iteration through the trellis. (c) computing a forward metric for each node, starting from the start of the trellis and advancing forward through the trellis and storing forward metrics of nodes of a plurality of starting stages of windows. (d) repeating stages d(1)-d(3) until all lambdas of the trellis are calculated; d(1) retrieving forward metrics of nodes of a starting stage of a window, the retrieved forward metrics were computed and stored during step (c). d(2) computing and storing forward metrics for each node, starting from a second stage of the window and ending at the ending stage of the window. d(3) computing backward metrics for each node, starting from the ending stage of the window and ending at the starting stage of the window; wherein when backward metrics of nodes of a stage are computed and the forward metrics of the nodes of an adjacent stage were previously computed, the computation of backward metrics is integrated with the computation of lambda from the stage to the adjacent stage and a storage of the calculated lambdas.


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