DocumentCode
2574186
Title
Algorithm of multi-signals separation for shortwave broadband receiver
Author
Dong, Yan-kun ; Zhang, Dong-ling ; Ge, Lin-dong
Author_Institution
Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
fYear
2011
fDate
9-11 Nov. 2011
Firstpage
1
Lastpage
5
Abstract
In this paper, an algorithm of multi-signals separation for shortwave broadband receiver is proposed that is suitable for the case where the signals are not overlapped in frequency domain. Firstly, the algorithm uses morphological filter to estimate the noise floor which is then subtracted from the overall spectrum. Secondly, a multi-resolution analysis based on wavelet is implemented in order to reduce the interference further. After an improved Welch spectrum is obtained, thirdly, a two-step procedure including adaptive threshold setting and comparison is performed for final decision making. Simulation results have proved the feasibility and performances of the separation algorithm, especially the suitableness for very weak signals detection in non-flat noise environment.
Keywords
filtering theory; frequency-domain analysis; interference suppression; military communication; signal detection; signal resolution; source separation; wavelet transforms; adaptive threshold setting; decision making; frequency domain; improved Welch spectrum; interference reduction; morphological filter; multiresolution analysis; multisignal separation; noise floor estimation; nonflat noise environment; shortwave broadband receiver; signal detection; Algorithm design and analysis; Broadband antennas; Broadband communication; Floors; Noise; Signal detection; Wavelet analysis; Shortwave communication; multicomponents separation; noise floor estimation; wavelet multiresolution analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4577-1009-4
Electronic_ISBN
978-1-4577-1008-7
Type
conf
DOI
10.1109/WCSP.2011.6096725
Filename
6096725
Link To Document