Code-aided SNR estimation based on expectation maximisation algorithm

N. Wu; H. Wang; J. M. Kuang

doi:10.1049/el:20081216

Code-aided SNR estimation based on expectation maximisation algorithm

N. Wu^*, H. Wang, J. M. Kuang

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

A code-aided signal-to-noise ratio (SNR) estimator based on the expectation maximisation algorithm is proposed. The method iteratively uses the soft information from the channel decoder and significantly improves estimation precision in the low SNR regime. It can be extended to higher-order modulation such as MPSK and MQAM directly.

Original language	English
Pages (from-to)	924-925
Number of pages	2
Journal	Electronics Letters
Volume	44
Issue number	15
DOIs	https://doi.org/10.1049/el:20081216
Publication status	Published - 2008

Access to Document

10.1049/el:20081216

Cite this

@article{75f0a361680942c4a33827fd18e1c684,

title = "Code-aided SNR estimation based on expectation maximisation algorithm",

abstract = "A code-aided signal-to-noise ratio (SNR) estimator based on the expectation maximisation algorithm is proposed. The method iteratively uses the soft information from the channel decoder and significantly improves estimation precision in the low SNR regime. It can be extended to higher-order modulation such as MPSK and MQAM directly.",

author = "N. Wu and H. Wang and Kuang, {J. M.}",

year = "2008",

doi = "10.1049/el:20081216",

language = "English",

volume = "44",

pages = "924--925",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley & Sons Inc.",

number = "15",

}

TY - JOUR

T1 - Code-aided SNR estimation based on expectation maximisation algorithm

AU - Wu, N.

AU - Wang, H.

AU - Kuang, J. M.

PY - 2008

Y1 - 2008

N2 - A code-aided signal-to-noise ratio (SNR) estimator based on the expectation maximisation algorithm is proposed. The method iteratively uses the soft information from the channel decoder and significantly improves estimation precision in the low SNR regime. It can be extended to higher-order modulation such as MPSK and MQAM directly.

AB - A code-aided signal-to-noise ratio (SNR) estimator based on the expectation maximisation algorithm is proposed. The method iteratively uses the soft information from the channel decoder and significantly improves estimation precision in the low SNR regime. It can be extended to higher-order modulation such as MPSK and MQAM directly.

UR - http://www.scopus.com/inward/record.url?scp=47549099193&partnerID=8YFLogxK

U2 - 10.1049/el:20081216

DO - 10.1049/el:20081216

M3 - Article

AN - SCOPUS:47549099193

SN - 0013-5194

VL - 44

SP - 924

EP - 925

JO - Electronics Letters

JF - Electronics Letters

IS - 15

ER -

Code-aided SNR estimation based on expectation maximisation algorithm

Abstract

Access to Document

Other files and links

Fingerprint

Cite this