Quickest Detection of Propagating Signals for Flexible Radio Spectrum Use

Topi Halme, Eyal Nitzan, Visa Koivunen

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

1 Citation (Scopus)


The design of efficient algorithms for the detection of propagating spatial phenomena is of importance in many fields. Relevant applications can be found in flexible radio spectrum use in radar and wireless communication, Internet of Things, and environmental monitoring. In this paper, we introduce a novel Bayesian procedure for rapid detection of changes in spectrum occupancy in flexible spectrum use systems such as cognitive radio. The primary user primary user starts to transmit at an unknown time and location a signal that propagates obeying the laws of physics towards sensors observing the spectrum. The proposed procedure takes the spatial structure and propagation dynamics of the signal properly into account, and therefore achieves smaller average detection delay (ADD) than existing approaches. In simulations, we also consider a minimax approach applicable in instances where the statistics of the primary user's signal are not perfectly known.

Original languageEnglish
Title of host publication55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
EditorsMichael B. Matthews
Number of pages6
ISBN (Electronic)978-1-6654-5828-3
Publication statusPublished - 4 Mar 2022
MoE publication typeA4 Article in a conference publication
EventAsilomar Conference on Signals, Systems & Computers - Virtual, Pacific Grove, United States
Duration: 31 Oct 20213 Nov 2021
Conference number: 55

Publication series

NameAsilomar Conference on Signals, Systems and Computers proceedings
ISSN (Print)1058-6393
ISSN (Electronic)2576-2303


ConferenceAsilomar Conference on Signals, Systems & Computers
Abbreviated titleACSSC
Country/TerritoryUnited States
CityPacific Grove


  • Change-point detection
  • cognitive radio
  • energy detector
  • propagating events
  • spectrum sensing


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