In this paper a joint source and space time decoding scheme is proposed for the high speed digital source
transmission over fading channels. At the transmitter Reverse Variable Length Code (RVLC) is concatenated
with recursive space time trellis code (recursive STTC). At the receiver iterative joint VLC and space time
decoding algorithm is proposed to fully utilize the residual redundance introduced in RVLC and the coding gain
of recursive space time trellis code. Simulation result shows that the proposed joint decoding system achieves a
better decoding performance over fading channels than separable decoding system.
Turbo codes is a promising technique for distributed source coding (DSC) in sensor networks because of its simple encoding implementation in sensors and the high decoding performance at the receiver. Different than the scenario in channel coding that only one distortion from physical channel exists, two types of distortion
from both physical channel and BSC co-exist in a distributive source coding scenario. In this paper, first, the conventional Turbo decoding is modified to handle BSC distortion. Then, it is further modified to decode mixed data with both types of distortion simultaneously. By redefining channel reliabilities and calculating the extrinsic information considering both distortions, the new decoding algorithm well matches the realistic DSC scenario and indeed improves decoding performance.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.