Research Article
Digital Post-Processing Based Wideband Receiver Linearization for Enhanced Spectrum Sensing and Access
@INPROCEEDINGS{10.4108/icst.crowncom.2014.255428, author={Markus Allen and Jaakko Marttila and Mikko Valkama and Michael Grimm and Reiner Thom\aa{}}, title={Digital Post-Processing Based Wideband Receiver Linearization for Enhanced Spectrum Sensing and Access}, proceedings={TRIAL Workshop on Cognitive Radio Testbeds}, publisher={IEEE}, proceedings_a={TRIAL WORKSHOP}, year={2014}, month={7}, keywords={cognitive radio interference cancellation inverse modeling nonlinear distortion spectrum access spectrum sensing}, doi={10.4108/icst.crowncom.2014.255428} }- Markus Allen
Jaakko Marttila
Mikko Valkama
Michael Grimm
Reiner Thomä
Year: 2014
Digital Post-Processing Based Wideband Receiver Linearization for Enhanced Spectrum Sensing and Access
TRIAL WORKSHOP
ICST
DOI: 10.4108/icst.crowncom.2014.255428
Abstract
Wideband radio receivers provide the flexibility desired in many communications applications and are the key element in cognitive radios and software-defined radios in general. However, multi-channel reception scenarios tend to have high dynamic range which set hard-to-reach requirements for receiver linearity. This paper proposes a calibration-based digital postinverse model for wideband receiver linearization and compares it with adaptive interference cancellation. Their advantages and disadvantages are highlighted together with numerical performance results in challenging non-contiguous spectrum access scenario. Both methods are waveform-independent, which make them applicable to many systems, but they have different tradeoffs when linearization accuracy, computational complexity and real-time capability are compared. Therefore selecting the best method is highly system-specific matter.
