A novel spectral subtraction technique for cognitive radios
2013 (English)In: 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), IEEE , 2013, 118-121 p.Conference paper (Refereed)
In the past a lot of work has been done to remove noise from speech. Most of the presented techniques were derived from Boll's spectral subtraction technique. Roughly speaking the spectral subtraction techniques consists of estimating the noise power during the periods when no speech is present and subtracting this estimate of the noise power from the signal when speech is present. This spectral subtraction technique could be a very good in-band de-noising technique for communication signals measured by cognitive radios. However, there is one major drawback: one can never turn off the spectrum so that no communication signals are present. This paper presents an extended version of the spectral subtraction technique which does not require 'speech free' periods, but can determine the noise power from the empty frequency bins in the spectrum. The presented method is based on an autoregressive (AR) model, which is linear in the parameters. Simulation results show that the presented technique is as performing as the original spectral subtraction techniques without the need to turn off the signals.
Place, publisher, year, edition, pages
IEEE , 2013. 118-121 p.
, Conference Record - IEEE Instrumentation and Measurement Technology Conference, ISSN 1091-5281
auto-regressive model, cognitive radio, de-noising, spectral subtraction
IdentifiersURN: urn:nbn:se:kth:diva-133847DOI: 10.1109/I2MTC.2013.6555393ScopusID: 2-s2.0-84882256778ISBN: 978-146734622-1OAI: oai:DiVA.org:kth-133847DiVA: diva2:663524
2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013; Minneapolis, MN; United States; 6 May 2013 through 9 May 2013
QC 201311122013-11-122013-11-112013-11-12Bibliographically approved