DocumentCode :
1885450
Title :
Novel detection method and parameters analysis of vital signal for Ultra-Wideband radar
Author :
Xu, Yanyun ; Dai, Shun ; Wu, Shiyou ; Dang, Yawen ; Chen, Jie ; Fang, Guangyou
Author_Institution :
Inst. of Electron., Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1822
Lastpage :
1825
Abstract :
The factors influencing on vital signal detection are discussed by introducing Cramer-Rao Low Bound (CRLB) for Ultra Wideband (UWB) in this paper. The CRLB is described on the basis of the impulse UWB sequential signal module and the Maximum Likelihood rule with Fisher Information Matrix (FIM). A novel detection method based on Multifold High Order Cumulant Fast Fourier Transform (MHOC-FFT) is used to process the simulated noisy signal and to estimate respiratory frequency. Simulated results verify the influence of the key parameters on vital detection. And the novel detection method has high Detectability with the capability to improve SNR and reduce higher harmonics.
Keywords :
fast Fourier transforms; maximum likelihood estimation; medical signal detection; medical signal processing; patient diagnosis; pneumodynamics; radar signal processing; ultra wideband radar; CRLB; Cramer-Rao lower bound; FIM; Fisher information matrix; MHOC-FFT; detection method; fast Fourier transform; impulse UWB sequential signal module; maximum likelihood rule; multifold high order cumulant FFT; noisy signal; parameter analysis; respiratory frequency estimation; ultrawideband radar; vital signal detection; Bandwidth; Estimation; Frequency estimation; Harmonic analysis; Signal to noise ratio; Ultra wideband radar; Vibrations; Cramer-Rao Low Band (CRLB); High Order Cumulant (HOC); Ultra Wide Band (UWB); human-being detection; vital parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049476
Filename :
6049476
Link To Document :
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