NDA SNR estimation based on Empirical Characteristic Function and high-moment

Author

Wang Aifen ; Xu Hua ; Jiang Lei

Author_Institution

Inf. & Navig. Inst., Air force Eng. Univ., Xian, China

Volume

2

fYear

2012

fDate

21-25 Oct. 2012

Firstpage

1464

Lastpage

1467

Abstract

This paper investigates non-data-aided (NDA) SNR estimation for high-order QAM transmission. It proposes a new technique to estimate the signal power using the well-known moment-based M2M4 method over the flat-fading channel, estimate the noise power using the Empirical Characteristic Function. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations. The performance of the proposed estimators is evaluated for rectangular 32-QAM modulation, the simulated performances are analyzed and compared for M2M4 method and Empirical Characteristic Function method.

Keywords

estimation theory; fading channels; method of moments; quadrature amplitude modulation; NDA SNR estimation; QAM modulation; empirical characteristic function method; flat-fading channel; high-order QAM transmission; moment-based M2M4 method; noise power estimation; nonconstant modulus constellation; nondata-aided SNR estimation; nondata-aided envelope-based estimator; signal power; Empirical Characteristic Function; High-moment; NDA; QAM; SNR estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2012 IEEE 11th International Conference on

Conference_Location

Beijing

ISSN

2164-5221

Print_ISBN

978-1-4673-2196-9

Type

conf

DOI

10.1109/ICoSP.2012.6491851

Filename

6491851