Paper Info
Title
Memory-Optimized Hybrid Decoding Method for Multi-Rate Turbo Codes
Abstract
To provide near-optimal error-correcting performance for multi-rate turbo codes and minimize the size of additional memory, a new decoding method is proposed in this paper. The proposed decoding is based on two methods: hybrid sliding window and dynamic metric encoding. The new window scheme combines dummy metric calculation and border metric storing methods to halve the border metric memory and improve the error-correcting performance for multi-rate codes. The dynamic encoding of metrics also significantly reduces the border metric memory without degrading the performance. Employing the two proposed methods reduces the conventional border metric memory by 83%. In addition, the superb error-correcting performance of the proposed method is verified for various code rates by conducting intensive simulations for 3GPP LTE codes.
Year
DOI
Venue
2013
10.1109/VTCSpring.2013.6692631
VTC Spring
Keywords
Field
DocType
turbo codes,memory optimized hybrid decoding method,error correction codes,3gpp lte codes,hybrid sliding window,border metric memory,multirate turbo codes,dynamic metric encoding,border metric storing methods,error correcting performance,measurement,decoding,memory management
Concatenated error correction code,BCJR algorithm,Sequential decoding,Computer science,Parallel computing,Block code,Serial concatenated convolutional codes,Turbo code,Algorithm,Electronic engineering,Linear code,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1550-2252
1
0.38
References 
Authors
9
3
Name
Order
Citations
PageRank
Injae Yoo1275.26
Bongjin Kim26214.14
In-Cheol Park3888124.36