Improving the Decoding of M-Sequences by Exploiting Their Decimation Property

Mathieu Des Noes (1) , Valentin Savin (1) , Laurent Ros (2) , Jean-Marc Brossier (2)

1 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
2 GIPSA-CICS - GIPSA - Communication Information and Complex Systems

M-sequences are widely used in communications and positioning systems for synchronization purposes. In these systems, the receiver does not know which sequence is used by the transmitter, this needs to be detected. This paper establishes first a link between the conventional detection theory and the recently developed detection technique relying on iterative message-passing algorithm. Then, a novel decoding strategy is proposed. It exploits the decimation property of msequences to improve significantly the detection performance compared to the existing decoding strategy.

Mots clés: belief-propagation; decoding; m-sequence

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Mathieu Des Noes, Valentin Savin, Laurent Ros, Jean-Marc Brossier. Improving the Decoding of M-Sequences by Exploiting Their Decimation Property. EUSIPCO 2013 - 21th European Signal Processing Conference, Sep 2013, Marrakech, Morocco. POSTER. 5 p. ⟨hal-00854250⟩