Application of Zernike Moments as Features in KNN and SVM as Semi-Blind Detectors for STBC MIMO-OFDM Systems in Impulsive Noise Environments

Author

Nosrati, Mehdi ; Amindavar, Hamidreza

Author_Institution

Amirkabir Univ. of Technol., Tehran, Iran

Volume

3

fYear

2007

fDate

15-20 April 2007

Abstract

In space time block coded (STBC) MIMO-OFDM, most receivers assume the channel noise to be Gaussian, this paper considers the semi-blind detection of symbols in non-Gaussian channels. Our aim is to introduce a new receiver for STBC MIMO-OFDM transmission over Rayleigh fading channels using Zernike moments which apply either k-nearest neighbor (KNN) or support vector machine (SVM) for classification. The detrimental effects of multipath on the transmitted symbols are alleviated using invariance to rotation, and scaling properties of the Zernike moments. The performance of the new method is shown in symmetric α-stable (SaS) and Middleton noise environments.

Keywords

MIMO communication; OFDM modulation; Rayleigh channels; block codes; impulse noise; space-time codes; support vector machines; telecommunication computing; KNN; Middleton noise environments; Rayleigh fading channels; STBC MIMO-OFDM systems; SVM; Zernike moments; channel noise; impulsive noise environments; k-nearest neighbor; non-Gaussian channels; semi-blind detectors; space time block code; symmetric α-stable; Gaussian noise; Infrared detectors; MIMO; OFDM; Space technology; Support vector machine classification; Support vector machines; Transmitting antennas; Wireless communication; Working environment noise; MIMO-OFDM; Zernike moments; impulsive noise; k-nearest neighbor; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366537

Filename

4217711