Name
Abstract | ||
|---|---|---|
In this paper, we present adaptive quantization schemes in the normalized min-sum decoding algorithm considering scaling effects to improve the performance of irregular low-density parity-check (LDPC) decoder for WirelessMAN (IEEE 802.16e) applications. We discuss the finite precision effects on the performance of irregular LDPC codes and develop optimal finite word lengths of variables over an SNR. For floating point simulation, it is known that in the normalized min-sum or offset min-sum algorithms the performance of a min-sum based decoder is not sensitive to scaling in the log-likelihood ratio (LLR) values. However, when considering the finite precision for hardware implementation, the scaling affects the dynamic range of the LLR values. The proposed adaptive quantization approach provides the optimal performance in selecting suitable input LLR values to the decoder as far as the tradeoffs between error performance and hardware complexity are concerned. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISCAS.2008.4541473 | ISCAS |
Keywords | Field | DocType |
adaptive quantization,wimax,low-density parity-check decoder,hardware complexity,hardware implementation,quantisation (signal),normalized min-sum decoding algorithm,ieee 802.16e,log-likelihood ratio values,wirelessman,parity check codes,min-sum based irregular ldpc decoder,decoding,error performance,floating point simulation,floating point arithmetic,application software,log likelihood ratio,low density parity check,ofdm,hardware,floating point,dynamic range,quantization,ldpc code | Computer science,Low-density parity-check code,Floating point,Electronic engineering,Soft-decision decoder,Decoding methods,Quantization (signal processing),Scaling,Offset (computer science),Orthogonal frequency-division multiplexing | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4244-1684-4 | 4 |
PageRank | References | Authors |
0.51 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sangmin Kim | 1 | 99 | 16.39 |
| Gerald E. Sobelman | 2 | 225 | 44.78 |
| Hanho Lee | 3 | 205 | 40.92 |