Name
Abstract | ||
|---|---|---|
The detection threshold setting and noise uncertainty are known to be critical aspects for energy detectors. Adaptive methods for threshold setting outperform non-adaptive methods due to flexibility and robustness. There exists several adaptive threshold setting methods of which the forward consecutive mean excision (FCME) algorithm is among the most attractive ones since it is blind, computationally simple and efficient. However, in some situations, it may give a too large threshold. We propose to apply median filtering with the FCME. Real-life real-time measurement results show that proposal enables more stable thresholds even in the situations when there are no signal-free reference samples for the initial threshold computing. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2093256.2093289 | CogART |
Keywords | Field | DocType |
stable threshold,critical aspect,adaptive method,noise uncertainty,consecutive mean excision,adaptive threshold,large threshold,energy detector,adaptive fcme-based threshold,detection threshold setting,initial threshold computing,estimation,noise floor,median filter,adaptive thresholding,real time | Noise floor,Median filter,Computer science,Simulation,Algorithm,Real-time computing,Robustness (computer science),Detector | Conference |
Citations | PageRank | References |
2 | 0.42 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Janne J. Lehtomäki | 1 | 283 | 36.63 |
| Johanna Vartiainen | 2 | 27 | 6.40 |
| Risto Vuohtoniemi | 3 | 76 | 11.09 |
| Harri Saarnisaari | 4 | 117 | 24.14 |