DocumentCode
2819113
Title
Self-Calibration Algorithm for the Amplitude and Phase Error of the Multiple Beam Antenna
Author
Wang, Jian ; Song, Yinghui
Author_Institution
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
When we use the multiple beam antenna to estimate the direction of arrival (DOA) by using the multiple signal classification (MUSIC) algorithm, the uncertainty element´s amplitude and phase will effect the DOA estimation performance of the beam antenna. So a universal technique for self-calibration based on the minimize cost function is introduced. By minimize the cost function it can get the array covariance matrix and compensate the array uncertainty without estimation. Therefore, the proposed method is advantage over the source calibration algorithm that resorts to computing the sample minimize cost function. The performance of the proposed method is demonstrated by using the actual parameter of multiple beam antenna, and the computer simulations show that the proposed method provide comparable performance that can not only self-calibrate its sensitivity to the array uncertainty with reduce complexity compute with resource, but also further increase its precision.
Keywords
antennas; calibration; covariance matrices; direction-of-arrival estimation; signal classification; DOA estimation; MUSIC algorithm; amplitude error; array covariance matrix; direction of arrival estimation; multiple beam antenna; multiple signal classification algorithm; phase error; self-calibration algorithm; source calibration algorithm; Amplitude estimation; Calibration; Classification algorithms; Cost function; Covariance matrix; Direction of arrival estimation; Directional antennas; Multiple signal classification; Phase estimation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5363465
Filename
5363465
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