A Posteriori Probability detection of pulse position modulated signals under imperfect channel estimation

Joseph Boutros, Sylvain Chaillou, Robert Vallet

Research output: Contribution to conferencePaper

Abstract

We consider two sets of Pulse Position Modulated (M-PPM) signals related by M estimation error signals. The first signal set is transmitted on a Gaussian channel and is unknown to the receiver. The second signal set is used in the receiver filter bank in order to generate likelihoods for coherent A Posteriori Probability (APP) detection. The error model is defined by a Töplitz matrix and a normalization coefficient. We compute the information rate under such channel estimation errors and we show how the APP detection mismatch can be corrected via the Expectation-Maximization algorithm.

Original languageEnglish
Pages72-75
Number of pages4
Publication statusPublished - 1 Jun 2004
Externally publishedYes
Event2004 International Zurich Seminar on Communications: Access - Transmission -Networking - Zurich, Switzerland
Duration: 18 Feb 200420 Feb 2004

Other

Other2004 International Zurich Seminar on Communications: Access - Transmission -Networking
CountrySwitzerland
CityZurich
Period18/2/0420/2/04

    Fingerprint

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Boutros, J., Chaillou, S., & Vallet, R. (2004). A Posteriori Probability detection of pulse position modulated signals under imperfect channel estimation. 72-75. Paper presented at 2004 International Zurich Seminar on Communications: Access - Transmission -Networking, Zurich, Switzerland.