Digital linearization of direct-conversion spectrum sensing receiver

Markus Allen, Jaakko Marttila, Mikko Valkama, Semu Makinen, Marko Kosunen, Jussi Ryynänen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

7 Citations (Scopus)

Abstract

Reliable spectrum sensing ability is a key factor in cognitive radios. However, there are many aspects that impact the sensing reliability. One important aspect is impairments in the cognitive radio receiver hardware. Received signals tend to have high dynamic range which drives the receiver to the nonlinear zone. This may cause nonlinear distortion falling to the sensing band and therefore either triggers a false alarm or missed detection. This paper specifically focuses on the digital compensation of sensing receiver LNA nonlinearities which are typically the most significant sources of nonlinearity. The proposed method is able to notably remove nonlinear distortion from the received signal and thus spectrum sensing algorithms become more reliable. With the help of simulations, this is shown not only for a classical energy detector but also for a cyclostationary feature detector.

Original languageEnglish
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
PublisherIEEE
Pages1158-1161
Number of pages4
ISBN (Print)9781479902484
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventIEEE Global Conference on Signal and Information Processing - Austin, United States
Duration: 3 Dec 20135 Dec 2013
Conference number: 1

Conference

ConferenceIEEE Global Conference on Signal and Information Processing
Abbreviated titleGlobalSIP
CountryUnited States
CityAustin
Period03/12/201305/12/2013

Keywords

  • Cognitive radio
  • Interference cancellation
  • Low-noise amplifier
  • Nonlinear distortion
  • Spectrum sensing

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