A new approach to multiply windows frequency estimation using neural network

Author

Ma, Wei ; Wu, Mu Qing ; Li, Guan Nan ; Sun, Yan ; Hu, Sen Zhe

Author_Institution

Inst. of Continuing Educ., Beijing Univ. of Posts & Telecommun., Beijing

fYear

2008

fDate

2-5 Nov. 2008

Firstpage

990

Lastpage

993

Abstract

Technique of multiple windows frequency estimation integrating SVD offers a efficient method which estimate interference temperature in radio frequency environment. Since this paper uses a way which SVD integrate the neural network, the complexity of tradition arithmetic was predigested and improved the nicety of estimating interference temperature. At the same time, the paper provides a good method for estimating the real time interference temperature in complex radio frequency environment.

Keywords

frequency estimation; radiofrequency interference; singular value decomposition; spread spectrum communication; telecommunication computing; SVD; complex radio frequency environment; neural network; radio spectrum; singular value decomposition; windows frequency estimation; FCC; Frequency estimation; Interference; Neural networks; Noise level; Programmable logic arrays; Radio frequency; Radio transmitters; Temperature sensors; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2192-3

Electronic_ISBN

978-1-4244-2193-0

Type

conf

DOI

10.1109/ISAPE.2008.4735387

Filename

4735387