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Statistical estimation of the spatial spectrum of secondary sources
Acoustical Physics, 2004A statistical problem of estimating the shape and maximum possible width of the spatial energy spectrum of secondary sources is formulated and solved. The secondary sources under consideration are characteristic of the class of scatterers with preset statistical mean parameters.
V. A. Burov +2 more
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A recursive algorithm and architecture for spatial spectrum estimation
1987 Antennas and Propagation Society International Symposium, 2005In this paper we present some new results about the angle of arrival (AOA) estimation using the forward-backward linear prediction (FBLP) method. A recursive algorithm for solving the FBLP normal equation is presented. We also present a good architecture to implement this algorithm.
null Liu Longhe, null Xu Jungang
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Improved DOA estimation via pseudorandom resampling of spatial spectrum
IEEE Signal Processing Letters, 1997A new pseudorandom spatial spectrum resampling scheme for improving the threshold performance of eigenstructure direction of arrival (DOA) estimators is proposed. Our approach is based on combining additional information arising when several underlying DOA estimators are available simultaneously, e.g., are calculated in parallel manner using given ...
A.B. Gershman, J.F. Bohme
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Spatial multi-taper spectrum estimation for nuclear reactor modelling
Computational Statistics & Data Analysis, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Scarrott, C. J., Wilson, G. Tunnicliffe
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Bias analysis of source location estimates from eigenspace-based spatial-spectrum estimators
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992The authors rigorously derive bias expressions of source location estimates for MUSIC, MIN-NORM, and FINE for arbitrarily configured arrays. These bias expressions are a function of the null spectrum and statistics of estimated signal eigenvectors only.
X.-L. Xu, K. Buckley
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IEE Proceedings - Radar, Sonar and Navigation, 1996
A cross-covariance matrix constructed to be of full rank regardless of the coherence of the signals is suggested to avoid employing the technique of spatial smoothing in two-dimensional (2-D) spatial-spectrurn estimation of coherent signals. The propagator method is used to perform the noise subspace estimation without any eigendecomposition ...
P. Li, J. Sun, B. Yu
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A cross-covariance matrix constructed to be of full rank regardless of the coherence of the signals is suggested to avoid employing the technique of spatial smoothing in two-dimensional (2-D) spatial-spectrurn estimation of coherent signals. The propagator method is used to perform the noise subspace estimation without any eigendecomposition ...
P. Li, J. Sun, B. Yu
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Comparison of Several DOA Methods Based on Spatial Spectrum Estimation
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017Spatial Spectrum Estimation is usually used in the Direction-of-Arrival (DOA) estimation. A number of DOA methods have emerged these years. This paper introduces the theory of Multiple Signal Classification (MUSIC) firstly. Then it studies the modified MUSIC method. The modified method solves the problem of the source correlation.
Siyuan Zhang, Dong Xu, Yang Li
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An adaptive spatial spectrum estimation based on spectral peak separation
2016 First IEEE International Conference on Computer Communication and the Internet (ICCCI), 2016A high-precision algorithm on the estimation of DOA is presented in this paper. According to the theory of adaptive filtering and beam forming and RLS fast iteration algorithm and the technology of spectral peak separation, we establish a suitable spatial spectral function and search the spectral peaks to distinguish the directions of signals in this ...
Yingzhu Chen, Yuwen Wang, Yongwei Li
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A METHOD OF SPATIAL SPECTRUM ESTIMATION USING NEURAL NETWORKS
1991A method of high-resolution spatial spectrum analysis with applications of neural networks is proposed. Based on MUSIC algorithm, three kinds of neural networks are introduced into this field. A new formula of energy function is proposed to this special problem.
Kong Tie-sen +2 more
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Time-varying spatial spectrum estimation using a maneuverable sonar array
The Journal of the Acoustical Society of America, 2011This paper addresses the problem of spatial spectrum estimation in dynamic environments with a maneuverable sensor array. Estimation of the time-varying acoustic field directionality is of fundamental importance in passive sonar. In this paper, mobility of the array is treated as a feature allowing for left-right disambiguation as well as improved ...
Jonathan L. Odom, Jeffrey L. Krolik
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