Results 151 to 160 of about 31,048 (205)
A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum. [PDF]
Sensors (Basel)Fernandes RP +2 more
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Enhanced Coprime Array Structure and DOA Estimation Algorithm for Coherent Sources. [PDF]
Sensors (Basel)Han X, Zhang X.
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Low-Complexity 2D-DOD and 2D-DOA Estimation in Bistatic MIMO Radar Systems: A Reduced-Dimension MUSIC Algorithm Approach. [PDF]
Sensors (Basel)Ahmad M, Zhang X, Lai X, Ali F, Shi X.
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DOA Estimation in heteroscedastic noise
Signal Processing, 2019The paper considers direction of arrival (DOA) estimation from long-term observations in a very noisy environment. The concern is to derive methods obtaining reasonable DOAs at very low SNR. The noise is assumed zero-mean Gaussian and its variance varies in time and space, causing stationary data models to fit poorly over long observation times ...
Peter Gerstoft +3 more
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Kalman-based estimator for DOA estimations
IEEE Transactions on Signal Processing, 1994We introduce a new Kalman-based noise-subspace estimator combined with the Root-MUSIC for direction of-arrival (DOA) estimation of uncorrelated narrow-band plane waves impinging on an array of sensors. Without both a priori knowledge of the number of sources and the inflation method presented by Yang and Kaveh (1988), we show that the Kalman-based ...
null Yuan-Hwang Chen +1 more
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Sequential beamspace DOA estimation
2011 IEEE International Symposium on Antennas and Propagation (APSURSI), 2011We have developed a sequential beamspace method for high resolution direction of arrival (DOA) estimation. Beamspace MUSIC and element space MUSIC DOA estimation algorithms have been implemented to utilize an 8 element uniform circular array operating at 5.8 GHz.
W. Tidd +2 more
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2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks, 2013
In this paper we present a Linear Vector Quantization (LVQ) neural network approach to estimate Direction of Arrivals (DOA) of narrowband sources. It is shown that appropriately trained LVQ networks along with a specific postprocessing scheme can successfully be used for DOA estimation purposes. We take advantage of the execution speed of LVQ algorithm
Andre Faye +2 more
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In this paper we present a Linear Vector Quantization (LVQ) neural network approach to estimate Direction of Arrivals (DOA) of narrowband sources. It is shown that appropriately trained LVQ networks along with a specific postprocessing scheme can successfully be used for DOA estimation purposes. We take advantage of the execution speed of LVQ algorithm
Andre Faye +2 more
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2015 IEEE International Conference on Digital Signal Processing (DSP), 2015
This work addresses the problem of direction-of-arrival (DOA) estimation, where true DOAs are not on the sampling grid when sparse signal recovery concept is adopted. To estimate DOAs exploring its sparse property, a basis is usually required. However, off-grid issue persists even when a large basis is constructed.
Hongqing Liu +3 more
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This work addresses the problem of direction-of-arrival (DOA) estimation, where true DOAs are not on the sampling grid when sparse signal recovery concept is adopted. To estimate DOAs exploring its sparse property, a basis is usually required. However, off-grid issue persists even when a large basis is constructed.
Hongqing Liu +3 more
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DOA Estimation Using Compressed Sparse Array
IEEE Transactions on Signal Processing, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Muran Guo, Yimin D. Zhang, Tao Chen
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