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
Link To Document :
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