Joint modulation classification and detection using sphere decoding

Byonghyo Shim, Insung Kang

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this letter, we propose a simple yet effective modulation classification method for maximum likelihood multiuser detection. Our method is a modification of generalized likelihood ratio test (GLRT) that approximates the optimal classifier in the Bayesian sense. We show that the proposed method can be implemented by modifying the sphere decoding algorithm to support multimodulation. Simulation results in multiuser detection in high-speed downlink packet access (HSDPA) system show that the proposed method offers considerable performance gain over conventional RAKE and MMSE algorithms.

Original languageEnglish
Article number2024805
Pages (from-to)778-781
Number of pages4
JournalIEEE Signal Processing Letters
Volume16
Issue number9
DOIs
Publication statusPublished - 2009 Dec 1

Fingerprint

Multiuser detection
Decoding
Modulation
Multiuser Detection
Maximum likelihood
Classifiers
Maximum Likelihood Detection
Generalized Likelihood Ratio Test
Minimum Mean Square Error
High Speed
Classifier
Simulation

Keywords

  • Generalized likelihood ratio test (GLRT)
  • Modulation classification
  • Multiuser detection
  • Sphere decoding

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Joint modulation classification and detection using sphere decoding. / Shim, Byonghyo; Kang, Insung.

In: IEEE Signal Processing Letters, Vol. 16, No. 9, 2024805, 01.12.2009, p. 778-781.

Research output: Contribution to journalArticle

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