DocumentCode :
3388681
Title :
Improvement of 2-D direction finding algorithm of coherent signals based on two L-shape arrays
Author :
Gan, Lu ; Li, Ming ; Gu, Jianfeng ; Qi, Xin ; Wei, Ping
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2009
fDate :
23-25 July 2009
Firstpage :
423
Lastpage :
426
Abstract :
This paper presents an improved method of two-dimensional (2D) direction finding for coherent signals based on two L-shape arrays. A new type of three-dimensional (3D) direction angles has been defined in this method. The proposed method decorrelates the coherent incident signals and reconstructs the signal subspace using the cross-correlation matrix. Then the shift invariance property of the array geometry is employed to estimate the angle along each coordinate axis. All estimated angles got pair-matched by spatial relationships of their direction cosines, and weighted least-square (WLS) method is used to refine the estimated angles. Simulation results show that the proposed method, compared with the conventional methods, has higher estimation accuracy and is not sensitive to direction-of-arrival (DOA).
Keywords :
array signal processing; decorrelation; direction-of-arrival estimation; least squares approximations; matrix algebra; multidimensional signal processing; signal reconstruction; 2D direction finding algorithm; 3D direction angle; DOA; WLS; array geometry; coherent signal; cross-correlation matrix; decorrelation; direction cosine; direction-of-arrival estimation; shift invariance property; signal subspace reconstruction; two L-shape array; weighted least-square method; Azimuth; Decorrelation; Degradation; Direction of arrival estimation; Gallium nitride; Geometry; Sensor arrays; Smoothing methods; Transmission line matrix methods; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
Type :
conf
DOI :
10.1109/ICCCAS.2009.5250503
Filename :
5250503
Link To Document :
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