Title
A novel method for estimating the instantaneous parameters of radio transmitter signals
Abstract
Practical signals such as communication signals and speech turn out to be non-stationary and nonlinear time series, and estimating instantaneous parameters of such signals in time domain will benefit detecting and identifying radio transmitters, such as radio stations and aerospace targets. However, conventional methods such as Hilbert transform (HT) and Teages-Kaiser(T-K) methods fail to deal with these transient signals when there is a heavy signal distortion or very low SNR. To provide more efficient approach for estimating instantaneous parameters of non-stationary and nonlinear signals with high accuracy, a novel method based on orthogonal component reconstruction(OCR) for analytic signal is proposed in this paper. Both the further analysis and simulation results are presented to demonstrate the power and effectiveness of this novel method. ©2007 IEEE.
Year
DOI
Venue
2007
10.1109/ISSPA.2007.4555495
2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
Keywords
Field
DocType
null
Transmitter,Analytic signal,Computer science,Electronic engineering,Artificial intelligence,Distortion,Time domain,Pattern recognition,Signal-to-noise ratio,Speech recognition,Time–frequency analysis,Frequency modulation,Signal reconstruction
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4244-1779-8
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Shuhua Xu100.68
Weihua Yin200.34
Benxiong Huang316819.36