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Interacting Multiple Model Based Detector to Compensate Power Amplifier Distortions in Cognitive Radio
- Source :
- IEEE Transactions on Communications, IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers, 2015, Volume: 63 (Issue: 5), pp: 1580-1593. ⟨10.1109/TCOMM.2015.2417552⟩
- Publication Year :
- 2015
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2015.
-
Abstract
- International audience; For a battery driven terminal, the power amplifier (PA) efficiency must be optimized. Consequently, non-linearitiesmay appear at the PA output in the transmission chain. To compensate these distortions, one solution consists of using a digital detector based on a Volterra model of both the PA and the channel and a Kalman filter (KF) based algorithm to jointly estimate the Volterra kernels and the transmitted symbols. Here, we suggest addressing this issue when dealing with cognitive radio (CR). In this case, additional constraints must be taken into account. Since the CR terminal may switch from one sub-band to another, the PA non-linearities may vary over time. Therefore, we propose to design a digital detector based on an interacting multiple model combining various KF based estimators using different model parameter dynamics. This makes it possible to track the time variations of the Volterra kernels while keeping accurate estimateswhen those parameters are static. Furthermore, the single and multicarrier cases are addressed and validated by simulationresults. Our solution corresponds to a compromise between computational cost and bit-error-rate performance.
- Subjects :
- Engineering
digital detector
business.industry
[SHS.INFO]Humanities and Social Sciences/Library and information sciences
Amplifier
Bandwidth (signal processing)
Detector
Estimator
Kalman filter
Volterra equations
Cognitive radio
Model parameter
Control theory
Volterra model
Power amplifier
interacting multiple model
multicarrier
Electronic engineering
cognitive radio
Electrical and Electronic Engineering
business
Kalman filtering
single carrier
Subjects
Details
- ISSN :
- 00906778
- Volume :
- 63
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi.dedup.....7ffe30b912df3e7cea03fe1844ab3dac