DocumentCode :
1154145
Title :
A New CLEAN Algorithm for Angle of Arrival Denoising
Author :
Akhdar, Oussama ; Mouhamadou, Moctar ; Carsenat, David ; Decroze, Cyril ; Monediere, Thierry
Author_Institution :
Fac. des Sci. et Tech., XLIM, Limoges, France
Volume :
8
fYear :
2009
fDate :
7/1/1905 12:00:00 AM
Firstpage :
478
Lastpage :
481
Abstract :
In a previous work, a novel technique for angle of arrival (AOA) measurement was proposed. This technique consists of sweeping the angular domain with one antenna, step by step, such that at each measurement step the received signal voltage at the rotating antenna (sensor) is measured. The signal voltage vector is the convolution between the antenna electric field pattern and the AOAs (magnitude and phase) of the incident wave. In this letter, a denoising CLEAN algorithm is modified and applied to this technique in order to eliminate spurious peaks and accurately find the AOAs of incoming waves. A set of measurements is made to evaluate the proposed algorithm. The results show the effectiveness of the denoising algorithm in reducing the noise level; a high angular precision in measured AOAs is noticed.
Keywords :
direction-of-arrival estimation; signal denoising; telecommunication channels; CLEAN algorithm; angle of arrival estimation; propagation channel; signal denoising; Angle of arrival (AOA); CLEAN; deconvolution; denoising; propagation channel;
fLanguage :
English
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
Publisher :
ieee
ISSN :
1536-1225
Type :
jour
DOI :
10.1109/LAWP.2009.2014890
Filename :
4781782
Link To Document :
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