Iterative receiver based on Kalman filter

Sangjoon Park, Hana Heo, Gyuyeol Kong, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The original form of the turbo equalizer is based on two maximum a posteriori probability (MAP) procedures. The MAP-based turbo equalizer using trellis diagram can significantly improve the bit error rate (BER) performance while it suffers from high computational complexity. Therefore, we propose a new suboptimal iterative turbo equalizer based on Kalman filtering framework in order to reduce high complexity of the MAP-based technique. The proposed receiver produces a posteriori information for a priori information of the channel decoder in the filtering step and obtains a priori information from the extrinsic information of the channel decoder. The proposed Kalman-based turbo equalizer operates in exactly the same way as the conventional Kalman equalizer. In the prediction step, we use the soft-valued extrinsic information of the channel decoder as a priori information of the desired signal to estimate and in the filtering step, calculate a posteriori information of the desired signal to estimate, which is a newly updated conditional probability when the a priori probability is given in the prediction step.

Original languageEnglish
Title of host publication54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011
DOIs
Publication statusPublished - 2011 Oct 13
Event54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011 - Seoul, Korea, Republic of
Duration: 2011 Aug 72011 Aug 10

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011
CountryKorea, Republic of
CitySeoul
Period11/8/711/8/10

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Iterative receiver based on Kalman filter'. Together they form a unique fingerprint.

  • Cite this

    Park, S., Heo, H., Kong, G., & Choi, S. (2011). Iterative receiver based on Kalman filter. In 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011 [6026664] (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2011.6026664