Name
Abstract | ||
|---|---|---|
We present a generalized selection combining (GSC) of M-ary signals that selects K out of L diversity branches based on the log-likelihood ratio (LLR). The motivation for using the LLR in selecting diversity branches is that the magnitude of LLR provides the reliability of hard decision and the LLR-based hard decision minimizes the bit error probability. It is shown that the proposed LLR-based GSC rule provides a significant power gain over the conventional SNR-based GSC rule, and the power gain increases with decreasing alphabet size and decreasing number of selected branches. We also present suboptimum LLR-based GSC rules that require a less computation, but provide virtually identical performance as the LLR-based GSC rule. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICC.2004.1312485 | ICC |
Keywords | Field | DocType |
awgn,frequency,error probability,fading,log likelihood ratio,signal detection | Power gain,Likelihood-ratio test,Detection theory,Fading,Algorithm,Electronic engineering,Real-time computing,Generalized selection,Probability of error,Additive white Gaussian noise,Mathematics,Computation | Conference |
Volume | ISBN | Citations |
1 | 0-7803-8533-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young Gil Kim | 1 | 152 | 18.48 |
| Sang Wu Kim | 2 | 270 | 47.79 |