DocumentCode
134551
Title
DOA estimation of IR-UWB signals using coherent signal processing
Author
Kumar, Dwivedi Sanjeet ; Hinduja, I.S. ; Mani, V.V.
Author_Institution
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Warangal, India
fYear
2014
fDate
7-9 March 2014
Firstpage
288
Lastpage
291
Abstract
In this paper coherent signal subspace method (CSM) is used to estimate the direction of arrival (DOA) of ultra wide band (UWB) signals in a multipath, non line of sight (NLOS) environment. As the name suggests it focuses the signal space of the wideband signal into a narrow subspace and the pseudospectrum of the resultant focused signal is calculated. The focusing frequency is calculated by minimizing the subspace fitting error. The frequency hence obtained gives better estimation results as compared to the case where the mid frequency of the spectrum is taken as the focusing frequency. This method proves to be the best choice for a wideband signal as it involves the multiple signal classification (MUSIC) algorithm, which has this innate ability to seperate multipath channels.
Keywords
direction-of-arrival estimation; signal classification; ultra wideband technology; DOA estimation; IR-UWB signals; MUSIC algorithm; coherent signal processing; coherent signal subspace method; direction of arrival estimation; focusing frequency; multipath channels; multipath nonline of sight environment; multiple signal classification algorithm; signal space; subspace fitting error; ultra wide band signals; wideband signal; Direction-of-arrival estimation; Estimation; Focusing; Frequency estimation; OFDM; Vectors; Wideband; DOA; MUSIC; focusing matrix; optimum focusing frequency; weighted signal subspace;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4799-3090-6
Type
conf
DOI
10.1109/CSPA.2014.6805766
Filename
6805766
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