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Direction-of-Arrival (DOA) Estimation based on Spacetime-Modulated Metasurface
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2019We introduce the concept of DOA estimation based on spacetime-modulated 2D-patch-array metasurface. Such a system, compared to conventional DOA estimators, offers the key advantage of requiring only one receiving antenna, with the metasurface placed in front of it.
Xiaoyi Wang, Christophe Caloz
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Direction of Arrival (DOA) Estimation
2019The importance of DOA estimation in radar processing for automotive applications cannot be overstated. It forms the third component of the radar cube: range, velocity, and angle. In practice, DOA estimation is often complicated by the fact that there will be multiple and unknown number of source signals impinging on the receiver array at the same time,
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Parallel wavelet transform based wideband Direction-Of-Arrival (DOA) on multicore/GPU
IEEE International Conference on Electro-Information Technology , EIT 2013, 2013In most of the signal processing applications, main interest is to obtain an accurate estimation of the Direction-Of-Arrival (DOA) of a received signal. Computation of Direction-Of-Arrival (DOA) based on Wavelet transform and other techniques are available in the literature. This work is an improved work of our previously parallel implementation of DOA.
Mohammad Wadood Majid +2 more
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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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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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Performance enhancement of aperture antennas used for estimation of Direction of Arrival (DOA)
2014 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2014In this paper, we propose a method based on signal processing techniques to improve the performance of aperture antennas, such as a parabolic reflector, used to estimate the Direction of Arrival (DOA) of a signal. Three signal processing algorithms are investigated, including the correlation method, which is used to make an initial estimate of the ...
Weibo Wang, Xiang Gu, Raj Mittra
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Virtural receiving array (VRA) method for direction of arrival (DOA) estimation
Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, 2012Using the data from a signal-element receiver on a moving Unmanned Arial Vehicle (UAV), this paper introduces a VRA method to obtain the data that can be used in the Direct Data Domain (D3) method for the signal DOA estimation.
Chen Wu +3 more
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Direction of Arrival (DoA) Estimation Using Irregular Arrays
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), 2023Sajad Eslamzadeh, Ramakrishna Janaswamy
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Comparative Study of Wideband Subspace Direction of Arrival (DOA) estimation methods
The Journal of the Acoustical Society of America, 2008Signal subspace Methods like ESPRIT, MUSIC and MATRIX PENCIL, provides high resolution Direction Of Arrival (DOA) estimation in comparison to traditional Delay and Sum and Capon methods, which are limited by sensor spacing. However underwater Acoustics signals are inherently wideband in nature and most of these Subspace methods works on narrowband ...
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Direction of Arrival (DOA) Estimation using Vector Acoustic Data
OCEANS 2021: San Diego – Porto, 2021Madison Sanders +3 more
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