Progressive image transmission over space-time coded OFDM systems with adaptive modulation

Author

Sun, Yong ; Xiong, Zixiang

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

fYear

2003

fDate

28 Sept.-1 Oct. 2003

Firstpage

359

Lastpage

362

Abstract

This paper considers a progressive image transmission system over wireless channels by combining joint source-channel coding (JSCC), space-time coding and orthogonal frequency division multiplexing (OFDM) and evaluate its performance. The BER performance of space-time coded OFDM is first evaluated analytically by assuming perfect channel state information at the receiver for coherent detection. Then for a given average SNR (hence BER), a fast local search algorithm is applied to optimize the unequal error protection design in JSCC. With this end-to-end system performance measurement, an adaptive modulation scheme is proposed by assigning different constellation sizes to various SNR ranges to achieve the best image quality. Simulation results confirm the effectiveness of our proposed adaptive modulation scheme.

Keywords

OFDM modulation; adaptive modulation; combined source-channel coding; error statistics; optimisation; radio receivers; space-time codes; visual communication; BER; BER performance; SNR; adaptive modulation; bit error rate; channel state information; coherent detection; image quality; joint source-channel coding; local search algorithm; orthogonal frequency division multiplexing; performance measurement; progressive image transmission system; receiver; space-time coded OFDM system; unequal error protection; wireless channels; Adaptive systems; Bit error rate; Channel state information; Design optimization; Image coding; Image communication; Information analysis; Modulation coding; OFDM modulation; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal Processing, 2003 IEEE Workshop on

Print_ISBN

0-7803-7997-7

Type

conf

DOI

10.1109/SSP.2003.1289419

Filename

1289419