DocumentCode :
3578467
Title :
Efficient two dimensional direction finding via auxiliary-variable manifold separation technique for arbitrary array structure
Author :
Guang Hua ; Jiu-Dong Wu ; Xi-Cheng Zhu ; Hou-Xing Zhou ; Wei Hong
Author_Institution :
State Key Lab. of Millimeter Waves, Southeast Univ., Nanjing, China
fYear :
2014
Firstpage :
532
Lastpage :
537
Abstract :
A polynomial rooting Direction of Arrival (DOA) algorithm for multiple plane waves incident on an arbitrary array structure that combines the multipolynomial resultants and matrix computations is presented in this paper. Firstly, a new auxiliary-variable manifold separation technique (AV-MST) is proposed to modal the steering vector of arbitrary array structure as the product of a sampling matrix (dependent only on the array structure) and two Vandermonde-structured wavefield coefficient vectors (dependent on the wavefield). Then the propagator operator is calculated and used to form a system of bivariate polynomial equations. Finally, the automatically paired azimuth and elevation estimates are derived by polynomial rooting. The presented algorithm employs the concept of auxiliary-variable manifold separation technique which requires no sector by sector array interpolation and thus does not suffer from any mapping errors. In addition, the new algorithm does not need any eigenvalue decomposition of the covariance matrix and exhausted search over the two dimensional parameter space. Moreover, the algorithm gives automatically paired estimates, thus avoiding the complex pairing procedure. Therefore, the proposed algorithm shows low computational complexity and high robustness performance. Simulation results are shown to validate the effectiveness of the proposed method.
Keywords :
array signal processing; computational complexity; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; interpolation; matrix decomposition; polynomial matrices; AV-MST; Vandermonde-structured wavefield coefficient vectors; arbitrary array structure; auxiliary variable manifold separation technique; auxiliary-variable manifold separation technique; bivariate polynomial equations; covariance matrix eigenvalue decomposition; direction of arrival algorithm; low computational complexity; polynomial rooting DOA algorithm; sampling matrix; sector array interpolation; two dimensional direction finding; Arrays; Azimuth; Computational modeling; Eigenvalues and eigenfunctions; Estimation; Histograms; Robustness; array signal processing; auxiliary-variable manifold separation technique; direction finding; multipolynomial resultants; polynomial rooting; propagator operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Problem-Solving (ICCP), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-4246-6
Type :
conf
DOI :
10.1109/ICCPS.2014.7062340
Filename :
7062340
Link To Document :
بازگشت