The basis of the operating analysis of the state on the air is an average energy detector in singled out frequency band, determining presence/absence of the determined signals and stationary noises of any type in the channels of specified width. The implementation of the digital energy detector for analyzer of busy time on the air in the radio stations, corresponding to the requirements of the program-configurable radio, has been considered. The detector can be implemented by programs in the existing radio stations without hardware changes. The basis of the detector operation is the experimentally measured average energy histogram in the narrow-band channels, sequentially located in the assumed operating frequency band. Based on the noise average energy histogram and the average energy histogram of the determined signals and stationary noises the integral of the false alarm probability and the integral of correct detection probability, respectively, have been calculated. The threshold of taking decision about the states of the channels idle/busy, determined by the specified false alarm criterion, is statistically reliable and reflects the current state on the air without a priory assumption about the noise distribution statistics and independently from the type of being detected narrow-band signals.
1. Галкин В.А. Анализатор состояния эфира в радиостанциях адаптивного радио // Радиотехника. – 2016. – №9. – С.146–155.
2. Armi N. Energy detector threshold under white Gaussian noise channel in cognitive radio system // 2nd International Conference on Information Technology, Computer, and Electrical Engineering 2015. – URL: http://ieeexplore.ieee.org/document/7437832 (дата обращения: 20.01.2018).
3. Atapatti S. Energy detection for spectrum sensing in cognitive radio. – Springer, 2014. – 83 р.
4. Atapattu S. Performance of an energy detector over channels with both multipath fading and shadowing // IEEE Transactions on Wireless Communication. – 2010. – Vol. 9. – No. 12. – P. 3662–3670.
5. Методы измерения радиошума. Рекомендация МСЭ-R SM.1753-2 (09/2012). – URL: www.itu.int/pub/R-REC (дата обращения: 20.01.2018).
6. Измерения и оценка занятости спектра. Отчет МСЭ-R SM.2256 (09/2012). – URL: www.itu.int/pub/R-REP (дата обращения: 20.01.2018).
7. Галанов Ю.И. Практическая статистика. – Томск: Изд-во ТПУ, 2014. – 80 с.
8. Mchenry M.A. NSF spectrum occupancy measurement project summary. Shared Spectrum Company Report, Aug.2005. – URL: www.sharedspectrum.com (дата обращения: 20.01.2018).