Fast Adaptive Spectrum Sensing Using Hardware Optimized, Cell Averaging Estimation for Cognitive Radio and Radar Applications

This article describes a technique that enables real-time spectrum sharing by rapidly sensing the spectrum and selecting available frequencies that a system may use for operation. Hardware optimized, cell averaging estimation (HO-CAE) is a method that uses a snapshot of the spectral environment to c...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2023-10, Vol.59 (5), p.1-14
Main Authors: Mattingly, Rylee G., Metcalf, Justin G.
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
Cognitive radar
Cognitive radio
Downlink
False alarms
field - programmable gate array (FPGA)
Field programmable gate arrays
Hardware
Mathematical analysis
Picture archiving and communication systems
Radar
Real time operation
Real-time systems
Sensors
spectrum sensing
spectrum sharing
Statistical analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article describes a technique that enables real-time spectrum sharing by rapidly sensing the spectrum and selecting available frequencies that a system may use for operation. Hardware optimized, cell averaging estimation (HO-CAE) is a method that uses a snapshot of the spectral environment to calculate a dynamic decision threshold that can be used by the fast spectrum sensing (FSS) algorithm to detect available spectrum. This energy detection technique is adaptive as it calculates a new threshold for each spectrum snapshot. A statistical derivation of HO-CAE will be provided with an analysis of probability of false alarm and probability of detection performance for noise only cases and in the presence of a 5 G downlink signal. Efficient field programmable gate array (FPGA) implementations of HO-CAE and FSS that enable real-time operation are presented.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2023.3252500