Results 181 to 190 of about 5,499 (216)

Improved maximum likelihood spectrum for direction of arrival (DOA) estimation

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
A 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
openaire   +1 more source

A SYSTOLIC ARCHITECTURE FOR CAPON'S DIRECTIONS-OF-ARRIVAL (DOA) ESTIMATION METHOD

Parallel Algorithms and Applications, 1993
In 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
openaire   +1 more source

Adaptive filtering algorithm for direction-of-arrival (DOA) estimation with small snapshots

Digital Signal Processing, 2019
Abstract 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, Guan Gui, Shin-Ya Matsushita   +2 more
exaly   +2 more sources

Millidegree-Level Direction-of-Arrival (DoA) Estimation and Tracking for Terahertz Wireless Communications

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, Longfei Yan 0002, Chong Han 0001   +2 more
openaire   +1 more source

Source number estimation using eigenspace in direction of arrival (DOA) estimate

OCEANS 2009-EUROPE, 2009
A 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, null Hu Juan, null Liu Xiaodong, null Liu Zhiyu, null Zhu Min   +4 more
openaire   +1 more source

Direction of arrival (DOA) estimation with extended optimum co-prime sensor array (EOCSA)

Multidimensional Systems and Signal Processing, 2021
In 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, Aliasghar Beheshti Shirazi   +1 more
openaire   +1 more source

Direction-of-Arrival (DOA) Estimation based on Spacetime-Modulated Metasurface

2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2019
We 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
exaly   +2 more sources

Direction-of-arrival (DOA) estimation in the presence of array signal coupling

2011 8th International Conference on Information, Communications & Signal Processing, 2011
Direction-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
openaire   +1 more source

Low complexity direction of arrival (DoA) estimation for 2D massive MIMO systems

2012 IEEE Globecom Workshops, 2012
Mobile 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, Lingjia Liu 0001, Jianzhong (Charlie) Zhang   +2 more
openaire   +1 more source

Direction of Arrival (DOA) Estimation

2019
The 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,
openaire   +1 more source