DocumentCode
1925872
Title
Array Calibration Based on Improved Instrumental Sensors Method
Author
Dai, Zeyang ; Wang, Xu ; Liu, Jian
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
fYear
2011
fDate
18-20 April 2011
Firstpage
424
Lastpage
428
Abstract
Instrumental Sensors Method (ISM) is an effective algorithm for joint estimation of signal Direction-of-Arrival(DOA) and direction-dependent array errors. However, this algorithm has some disadvantages, such as high computation complexity. In this paper, we propose an enhanced algorithm based on the basic ISM, in which there are two improvements to reduce the computation complexity. First, the improved algorithm combines least square method (LSM) with ISM to estimate signal DOA and direction-dependent array errors. Second, the improved algorithm simplifies matrix calculation when instrumental sensors are just one more than input signals. These two improvements can effectively estimate the signal´s DOA and direction-dependent array errors. The proposed algorithm has the same performance comparing with the basic ISM algorithm, but with the lower computation complexity. The simulation results show that the enhanced algorithm is effective, and it is convenient for the practice.
Keywords
array signal processing; direction-of-arrival estimation; least mean squares methods; matrix algebra; ISM; array calibration; direction-dependent array error; direction-of-arrival estimation; instrumental sensor method; least square method; matrix calculation; signal DOA estimation; Complexity theory; Direction of arrival estimation; Estimation; Sensor arrays; Simulation; Array calibration; Array error; DOA estimation; Instrumental Sensors Method; Least Square Method;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Mobile Computing (CMC), 2011 Third International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-61284-312-4
Type
conf
DOI
10.1109/CMC.2011.24
Filename
5931265
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