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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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Direction of Arrival (DOA) and Channel Estimation
2016Future fit demand combined with a flexible technical solution that is by latest wireless technology stands for. Estimating of the user's location is going to be an integral system with the upcoming mobile technology. This chapter shows some techniques for estimating the direction of arrival (DOA) with mathematical elaboration and simulation results as ...
Shouman Barua, Robin Braun
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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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Adaptive filtering algorithm for direction-of-arrival (DOA) estimation with small snapshots
Digital Signal Processing, 2019Abstract The direction-of-arrival (DOA) estimation problem with a few noisy snapshots can be formulated as a problem of finding a joint sparse representation of multiple measurement vectors (MMV), and some algorithms based on compressive sensing (CS), such as the joint l 0 approximation DOA (JLZA-DOA) and Multiple Snapshot Matching ...
Beiyi Liu +3 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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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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Comparison of conventional and subspace based algorithms to estimate Direction of Arrival (DOA)
2016 International Conference on Communication and Signal Processing (ICCSP), 2016The Direction of Arrival (DOA) technology and researches are evolving areas in array signal processing. Biomedicine, sonar, radar, seismology, astronomy communication and earthquake widely use this estimation. We receive an incoming wave by sensing an array or a set of arrays, this sensed wave can be processed to derive many related estimation ...
Pooja Gupta, Kumar Aditya, Amlan Datta
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