University of Oulu

Saarnisaari, H., & Vartiainen, J. (2022). Signal detection with spectrum windows. Heliyon, 8(7), e10054.

Signal detection with spectrum windows

Saved in:
Author: Saarnisaari, Harri1; Vartiainen, Johanna1
Organizations: 1Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
Persistent link:
Language: English
Published: Elsevier, 2022
Publish Date: 2022-10-18


Spectrum sensing is needed in frequency agile cognitive radio systems, cognitive radar systems as well as in (cognitive) electronic warfare systems. This paper studies window based detectors where window shapes can be matched for the expected spectrum. The provided analytical results for the probabilities of false alarm and detection are valid for arbitrary windows. Based on the window shape mismatch analysis, it was concluded that the simple rectangular window is often sufficient if its bandwidth is properly set. Furthermore, based on the window bandwidth mismatch analysis, it was discussed how many different rectangular windows are needed to cover the instantaneous analysis bandwidth of the receiver without compromising too much on sensitivity. Finally, suitable constant false alarm rate threshold setting schemes were compared. It was observed that almost ideal setting schemes exist.

see all

Series: Heliyon
ISSN: 2405-8440
ISSN-E: 2405-8440
ISSN-L: 2405-8440
Volume: 8
Issue: 7
Article number: e10054
DOI: 10.1016/j.heliyon.2022.e10054
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: Dr Harri Saarnisaari was supported by Academy of Finland [346208]. Dr Johanna Vartiainen was supported by Horizon Europe [815056].
EU Grant Number: (815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
Academy of Finland Grant Number: 346208
Detailed Information: 346208 (Academy of Finland Funding decision)
Copyright information: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (