Adaptive Channel Estimation Aided Log-Map Turbo Decoder Implementation for DS-CDMA Based Mobile Systems |
| |
Authors: | Mo Fan Kim Junghwan Dave Sameep Kwatra Subhash C |
| |
Affiliation: | (1) Electrical Engineering and Computer Science Department, The University of Toledo, 2801 W. Bancroft St, Toledo, Ohio, 43606, U.S.A. |
| |
Abstract: | Practical implementation of convolutional turbo codec is impeded by the difficulty of real-time execution in high transmission
rate communication systems due to high computational complexity, iterative block decoding structure, as well as the requirement
of accurate on-line channel reliability estimation for maximum-likelihood decoding. Relying on innovative channel estimation
techniques involving DS-CDMA specific noise/interference variance estimation and fading channel variation tracking, this paper
provides a low-complexity all-digital design of an iterative SISO log-MAP turbo decoder for DS-CDMA based mobile communication
systems. The issues of quantization and data flow in both pre-decoder processing module and iterative trellis decoding module
are prudently addressed to ensure highly efficient hardware implementation. The efficient design strategies applied confine
the decoding complexity while leading to an excellent performance within 0.2 dB of the software decoder. |
| |
Keywords: | turbo codes DS-CDMA channel estimation Log-MAP decoder |
本文献已被 SpringerLink 等数据库收录! |
|