Did you also hear that? Spectrum sensing using Hermitian inner product

Jerry T. Chiang, Yih Chun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Spectrum sensing is one of the most important enabling techniques on which to build a cognitive radio network. However, previously proposed techniques often have shortcomings in non-ideal environments: 1) An energy detector is simple but cannot perform in face of uncertain noise power; 2) A matched filter is the optimal detector, but performs poorly with clock drifts; 3) Eigenvalue-based blind feature detectors show great promise, but cannot detect signals that are noise-like; and 4) Above protocols all rely on field survey to determine the proper decision thresholds. We propose HIPSS and its extension Δ-HIPSS that are based on the Hermitian-inner-product of two observations acquired by a wireless receiver over multiple radio paths. HIPSS and Δ-HIPSS are lightweight and through extensive analysis and evaluation, we show that 1) HIPSS and Δ-HIPSS are robust in the presence of noise power uncertainties; 2) HIPSS and Δ-HIPSS require neither a much longer observation duration nor complex computation compared to an energy detector in ideal setting; 3) HIPSS and Δ-HIPSS can detect noise-like primary signals; and 4) Δ-HIPSS can reliably return sensing decisions without necessitating any field surveys.

Original languageEnglish (US)
Title of host publication2013 Proceedings IEEE INFOCOM 2013
Number of pages9
StatePublished - 2013
Event32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013 - Turin, Italy
Duration: Apr 14 2013Apr 19 2013

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X


Other32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering


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