A novel channel estimator for a superposition-based cooperative system

Yu Gong, Zhiguo Ding, T. Ratnarajah, Colin F.N. Cowan

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

This paper investigates channel estimation and equalization for the relay node of a cooperative diversity system based on superposition modulation. Exploring the superposition structure of the transmission data, we propose a novel channel estimator for the relay node. Without any pilot sequence, the proposed estimator can converge to the ideal case as if the transmission data is known to the receiver. We also re-derive the soft-input-soft-output MMSE equalizer to match the superimposed data structure of the cooperative scheme. Finally computer simulation results are given to verify the proposed algorithm.

Original languageBritish English
JournalEuropean Signal Processing Conference
StatePublished - 2006
Event14th European Signal Processing Conference, EUSIPCO 2006 - Florence, Italy
Duration: 4 Sep 20068 Sep 2006

Fingerprint

Dive into the research topics of 'A novel channel estimator for a superposition-based cooperative system'. Together they form a unique fingerprint.

Cite this