Name
Title | ||
|---|---|---|
Locally Optimum Detection of Signals in Multiplicative and First-Order Markov Additive Noises |
Abstract | ||
|---|---|---|
In most previously reported studies on locally optimum detection of signals, independent observations have been assumed in various noise environments. The use of an independent observation model may cause a considerable performance degradation in detection applications of modern high data-rate communication systems exhibiting dependence among interference components. In this paper, the detection of weak known and random signals is addressed in observations corrupted by multiplicative and first-order Markov additive noises. The asymptotic and finite sample-size performance of several detectors are obtained and compared: it is confirmed that the dependence of noise components need to be taken into account to maintain detection performance appropriately. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TIT.2007.911254 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
considerable performance degradation,various noise environment,detection application,noise component,independent observation,first-order markov additive noises,optimum detection,interference component,independent observation model,finite sample-size performance,detection performance,markov processes,multiplicative noise,communication system,signal detection,sample size,first order | Discrete mathematics,Background noise,Markov process,Detection theory,Multiplicative function,Computer science,Markov chain,Algorithm,Speech recognition,Interference (wave propagation),Detector,Multiplicative noise | Journal |
Volume | Issue | ISSN |
54 | 1 | 0018-9448 |
Citations | PageRank | References |
3 | 0.45 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jumi Lee | 1 | 24 | 3.56 |
| Iickho Song | 2 | 558 | 85.31 |
| Hyoungmoon Kwon | 3 | 60 | 6.74 |
| Hong Jik Kim | 4 | 6 | 1.19 |