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Estimation of Direction of Arrival(DOA) Based on the Spatial Kurtosis Spectrum
2021 International Conference on Information Science, Parallel and Distributed Systems (ISPDS), 2021Jinde Huang, Hong Li
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Direction of arrival (DOA) parameter estimation with the SAGE algorithm
Signal Processing, 2004In this study, we investigate the estimation of the relative delay, the azimuth and elevation angle and the complex amplitude of a known received signal with the space alternating generalised expectation (SAGE) maximisation algorithm. This optimisation algorithm is used to replace the high-dimensional optimisation procedure, necessary to compute the ...
Jo Verhaevert +2 more
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Improved maximum likelihood spectrum for direction of arrival (DOA) estimation
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003A variation of J. Capon's (1969) maximum-likelihood (ML) spectral estimation algorithm is described for calculating direction of arrival using a short linear array. The proposed modification involves altering the computed covariance spectral matrix by setting its lowest eigen value to a small, positive constant lambda '(min).
P. S. Naidu, V. V. Krishna
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A SYSTOLIC ARCHITECTURE FOR CAPON'S DIRECTIONS-OF-ARRIVAL (DOA) ESTIMATION METHOD
Parallel Algorithms and Applications, 1993In this paper, a systolic array architecture is designed for the parallel implementation of Capon's direction-of-arrival estimation method in array signal processing. The architecture uses the QR decomposition on the data matrix to compute Capon's angular spectrum. The systolic array employs N(N + l)/2 + N processing elements (PEs).
C. R. Wan, David J. Evans 0001
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Shaped sensor for material agnostic Lamb waves direction of arrival (DoA) estimation
, 2018 In this work, a sensor formed by clustering three ad-hoc shaped piezoelectric patches is proposed for guided waves direction of arrival (DoA) estimation in laminate composite and metallic structures. The irregular shaping of the transducer electrodes allows to simplify the signal processing procedures which are necessary to detect the wave DoA.
L. De Marchi +3 more
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2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2020
The Terahertz (0.1-10 THz) band is envisioned to meet the rapid growth of wireless data rates. Achieving high beamforming gain and reduced hardware complexity, the array-of-subarrays (AoSA) hybrid beamforming is a promising technology to be adopted for THz communications.
Yuhang Chen +2 more
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The Terahertz (0.1-10 THz) band is envisioned to meet the rapid growth of wireless data rates. Achieving high beamforming gain and reduced hardware complexity, the array-of-subarrays (AoSA) hybrid beamforming is a promising technology to be adopted for THz communications.
Yuhang Chen +2 more
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Source number estimation using eigenspace in direction of arrival (DOA) estimate
OCEANS 2009-EUROPE, 2009A source number estimation using eigenspace is presented. It projects estimated covariance matrix of array signal into signal eigen subspace and noise eigen subspace respectively. Using the orthogonality between signal eigen subspace and noise eigen subspace, it is easy to differentiate the contribution of signal and noise by using the criterion value,
null Zhu Weiqing +4 more
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Direction of arrival (DOA) estimation with extended optimum co-prime sensor array (EOCSA)
Multidimensional Systems and Signal Processing, 2021In this study we propose a novel sparse antenna array and suitable beamforming algorithm in order to decrease the number of antennas in large-scale antenna systems (LSASs) and achieving the performance of a dense antenna array. To design a sparse array we use the familiar array geometry that is called co-prime sensor array (CSA), which has been ...
Goudarz Saadati Moghadam +1 more
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Direction-of-arrival (DOA) estimation in the presence of array signal coupling
2011 8th International Conference on Information, Communications & Signal Processing, 2011Direction-of-arrival (DOA) estimation is an important function in array signal processing. Many DOA estimation algorithms have been proposed catering for different situations and accuracies requirements. Nevertheless, most of these algorithms were designed based on the assumption of using ideal array sensors such as antennas with no interaction between
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Low complexity direction of arrival (DoA) estimation for 2D massive MIMO systems
2012 IEEE Globecom Workshops, 2012Mobile data traffic is expected to almost double every year from 2012 to 2016. In order to address the challenge, “massive MIMO” has been proposed as one of the enabling technologies to significantly increase the spectral-efficiency of a wireless system.
Anding Wang +2 more
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