An image communication system over time varying channels based on multi-antennas and Kalman filter tracking

Author

Jiang, Mingyan ; Yuan, Dongfeng

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

Volume

2

fYear

2004

fDate

15-19 June 2004

Firstpage

1633

Abstract

In this paper, an image communication system is proposed over time-selective fading channels based on multi-antennas and Kalman filter tracking. We extend the Liu´s method to 2-2 antennas and add the channel coding method. Compared with the case of a no channel coding, the coding gain of the system can be improved about 3 dB. The proposed scheme improves the performance of the bit error rate (BER) of the system at lower signal to noise ratios (SNR); when the BER is about 1.E-4, and SNR more than 3 dB, the received image can be satisfied.

Keywords

Kalman filters; antenna arrays; channel coding; convolutional codes; error statistics; fading channels; time-varying channels; tracking; visual communication; 3 dB; Kalman filter tracking; bit error rate; channel coding; convolution coding; image communication system; multiantennas; signal to noise ratios; time varying channels; time-selective fading channels; wireless communication system; Bit error rate; Channel coding; Decoding; Image coding; Image communication; Performance gain; Receiving antennas; Signal to noise ratio; Time varying systems; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1340930

Filename

1340930