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Content Provider | IET Digital Library |
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Author | Li, Weiwei Jiang, Ting Wang, Ning |
Abstract | In many wireless communication systems, data can be divided into different importance levels. For these systems, unequal error protection (UEP) techniques are used to ensure lower bit error rate for the more important classes. Moreover, if the precise characteristics of the channel are known, UEP can be used to correctly recover the more important classes even under severe receiving conditions. In this study, a UEP scheme based on compressed sensing via a linear program is proposed. Discrete wavelet transform (DWT) is chosen as the sparsifying basis, and then DWT-coded information is divided into two-layered coded streams, each of which is transmitted differentially by applying an unequal number of information bits in linear codes according to the time-varying characteristic of the corrupted channel. In this proposed transmission scheme, the more important information is to guarantee error-free transmission. At the decoder, one can simply reconstruct the signal via the l 1-minimisation algorithm. Simulation results show that the proposed scheme can achieve a higher peak signal-to-noise ratio (PSNR) and obviously improve the error resilience compared to the equal error protection scheme and other UEP methods. More importantly, with the increase of channel corrupted ratio, the drop rate of PSNR is much slower than other solutions. It indicates that the proposed method has better robustness for severe channel conditions. |
Starting Page | 800 |
Ending Page | 808 |
Page Count | 9 |
ISSN | 17519675 |
Volume Number | 8 |
e-ISSN | 17519683 |
Issue Number | Issue 7, Sep (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/8/7 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0366 |
Journal | IET Signal Processing |
Publisher Date | 2014-05-21 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Channel Coding Channel Corrupted Ratio Code Compressed Sensing Compressed Sensing-based Unequal Error Protection Corrupted Channel Discrete Wavelet Transform DWT-coded Information Equal Error Protection Scheme Error Resilience Error-free Transmission Integral Transforms L1-minimisation Algorithm Linear Code Linear Programming Minimisation Optimisation Technique Peak Signal-to-noise Ratio PSNR Drop Rate Radio Link And Equipment Signal Processing And Detection Signal Reconstruction Time-varying Characteristic Transmission Scheme UEP Technique Wireless Channel Wireless Communication System |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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