Sliding window energy detection for spectrum sensing under low SNR conditions

Author:

Tian Xin1,Tian Zhi2,Blasch Erik3,Pham Khanh4,Shen Dan1,Chen Genshe1

Affiliation:

1. Intelligent Fusion Technology, Inc.; 20271 Goldenrod Lane, Suite 2066 Germantown 20876 MD USA

2. Department of Electrical and Computer Engineering; George Mason University; 4400 University Dr Fairfax 22030 VA USA

3. Air Force Research Laboratory; Information Directorate; Rome 13441 NY USA

4. Air Force Research Laboratory; Space Vehicles Directorate; Kirtland AFB 87117 NM USA

Funder

United States Air Force

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference9 articles.

1. A survey of spectrum sensing algorithms for cognitive radio applications;Yucek;IEEE Communication Surveys & Tutorial,2009

2. Urkowitz H Energy detection of unknown deterministic signals Proceedings of the IEEE 1967 523 531

3. Digham FF Alouini MS Simon MK On the energy detection of unknown signals over fading channels IEEE International Conference on Communications Anchorage, Alaska 2003 3575 3579

4. Kostylev VI Energy, detection of a signal with random amplitude Proceedings of the IEEE International Conference on Communications NYC, New York 2002 1606 1610

5. Ghasemi A Sousa ES Optimization of spectrum sensing for opportunistic spectrum access in cognitive radio networks Proceedings of the 4th IEEE Consumer Communications and Networking Conference Las Vegas, NV 2007 1022 1026

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1. Determining the length of sliding window by using frequency decomposition;2023 6th International Symposium on Autonomous Systems (ISAS);2023-06-23

2. Signal detection with spectrum windows;HELIYON;2022

3. Signal detection with spectrum windows;Heliyon;2022-07

4. Robust Spectrum Sensing Using Moving Blocks Energy Detector with Bootstrap;Journal of Communications Technology and Electronics;2022-06

5. Signal Detection with Spectrum Windows;SSRN Electronic Journal;2022

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