Results 251 to 260 of about 402,558 (283)

Spatial-spectrum estimation using vectors closest to the array manifold

Fourth IEEE Region 10 International Conference TENCON, 2003
Consideration is given to multiple narrowband source localization using arbitrarily configured arrays and spatial-spectrum estimation. A new eigenspace based approach is described which employs projections onto a particular vector in the estimated noise-only subspace.
K.M. Buckley, X.L. Xu
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Estimating spatial spectrum with generalized spectral-correlation signal subspace fitting

2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002
A novel DOA estimation method called Generalized Spectral Correlation Signal Subspace Fitting (GSC-SSF) is proposed in this paper, which is applicable in both wide band and narrow band scenarios. Especially, in narrow band cases, the method is capable of enlarging the effective aperture of the sensor array considerably. It is proven herein that several
null Liang Jin, null Qin-Ye Yin, null Min-Li Yao   +2 more
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Improved MUSIC Method for Spatial Spectrum Estimation of Ultrasound Sources

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2017
In the actual microwave thermo-induced ultrasound imaging, the ultrasonic point sources excited by the microwave pulse are highly dense. Hence, we do some research work on using the MUSIC algorithm to address this issue because the MUSIC algorithm has high spatial resolution, which can estimate signal parameters in multipath propagation and high ...
Weifeng Wang, Jinsong Du, Wei Wang
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Synthetic spatial spectrum DOA estimator for two closely spaced emitters

2008 3rd IEEE Conference on Industrial Electronics and Applications, 2008
In this paper, we propose a new estimator of DOA called synthetic spatial spectrum method (SSM). The estimator is synthesized with signal subspace projection method and noise subspace projection method, which is classical MUSIC spatial-spectra algorithm. The signal subspace projection is weighted with reciprocal of principle eigenvalue. For two closely
null You Hong, null Huang Jianguo, null Chen Jianfeng   +2 more
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Performance analysis of the enhanced minimum variance spatial spectrum estimator

IEEE Transactions on Signal Processing, 1998
The performance of the enhanced minimum variance (EMV) spatial spectrum estimator is studied. Expressions are presented fur the variance and bias of direction of arrival estimators based on general functions of the covariance matrix, and these expressions are then used to study the EMV estimator.
C. Vaidyanathan, K.M. Buckley
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Spatial spectrum estimation of coherent sources impinging on nonuniform arrays

Journal of Electronics (China), 1991
The problem of bearing estimation of coherent signal impinging on an array of arbitrary geometry is studied. Both approaches are developed, the first one synthesizes the observed array data into the outputs of a linear uniform array and then processes them via conventional techniques such as spatial smoothing etc.
Lu Ming, Bao Zheng
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A single port receiver spatial spectrum estimate DF system

IEEE Antennas and Propagation Society International Symposium. 1996 Digest, 2002
A new method of DF (direction finding) using spatial spectrum estimation technology is proposed. Based on the covariance matrix obtained by the weight perturbation algorithm, we use a single port receiver for spatial spectrum estimation DF. In principle, the proposed method is adapted for any eigenstructure algorithm. The computer simulation results of
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A spatial spectrum estimation technique using beam signal spectral decomposition

2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2017
Due to waveguide dispersion and array shape distortion, target's energy spreads in the vicinity of direction of arrival in spatial orientation spectrum. To solve this problem, a spatial spectrum estimation method using beam signal spectral decomposition is proposed.
Bin Zhou, Xiaonan Xu, Qing Wang
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A spatial spectrum estimation algorithm based on adaptive beamforming nulling

2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP), 2013
An algorithm on the estimation of DOA with unknown number of signal sources and suitable for parallel real-time computation is presented in this paper. According to the theory of adaptive beamforming and LMS or RLS fast iteration algorithm, the nulls which represent directions of signals are formed at the appropriate positions on array antenna beam ...
Yong J. Huang, Yu W. Wang, Fan J. Meng, Guo L. Wang   +3 more
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Beamspace compressive spatial spectrum estimation on large aperture acoustic arrays

The Journal of the Acoustical Society of America, 2014
For large aperture sonar arrays, the number of acoustic elements can be quite sizable and thus increase the dimensionality of the l1 minimization required for compressive beamforming. This leads to high computational complexity that scales by the cube of the number of array elements.
Geoffrey F. Edelmann, Jeffrey S. Rogers, Steve L. Means   +2 more
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