Results 111 to 120 of about 5,499 (216)

DOA Estimation of GNSS Signals Based on Deconvolved Conventional Beamforming

Remote Sensing
The Direction of Arrival (DOA) parameter is a key parameter in directional channel modeling for GNSS systems and multipath suppression. However, achieving high-precision, low-complexity DOA estimation of multiple signal sources without requiring a known ...
Jian Wu, Chenglong Li, Honglei Lin, Xiaomei Tang, Feixue Wang   +4 more
doaj   +1 more source

Topics in the accuracy and resolution of superresolution systems

, 2009
Since their introduction in the 1970s and 1980s superresolution systems for point source parameter estimation have received theoretical attention regarding their potential performance.
Brandwood, D.
core  

Joint DOA and TOA estimation method based on Pareto multi-task learning

上海师范大学学报. 自然科学版
A joint estimation method for direction of arrival （DOA） and time of arrival （TOA） was proposed based on Pareto multi-task learning， which transformed the traditional multi-task learning problem into a multi-objective optimization problem for solution. A
CHEN Erqi, WEI Shuang
doaj   +1 more source

Doa estimation of array radar via compressive sampling and matrix completion

, 2015
With the requirement of high-precision and high-resolution, the huge data greatly increases data transmission and storage load. Compressive sampling and Matrix completion have received considerable attention recently, and has been applied successfully in
Bi X(毕欣), Du JS(杜劲松), Wang W(王伟)   +2 more
core  

DOA estimation with a vector circular array

, 2012
Circular array antennas are widely used in direction of arrival estimation (DOA) estimation applications in navigation and signal intelligence. Conventional scalar circular array (SCA) is limited to DOA estimation of low grazing angle incident signals ...
Huaxi Sun, Yilong Lu, Sun, Huaxi., Lu, Yilong.   +3 more
core   +1 more source

Non-coherent direction of arrival estimation from magnitude-only measurements

, 2015
We consider the classical Direction of arrival (DOA) estimation problem in the presence of random sensor phase errors are present at each sensor. To eliminate the effect of these phase errors, we propose a DOA recovery technique that relies only on ...
Eldar, Yonina C., Kim, Haley, Haimovich, Alexander M.   +2 more
core   +1 more source

Distributed source modeling and direction-of-arrival estimation techniques

, 1997
In direction-of-arrival (DOA) estimation, the direction of a signal is usually assumed to be a point. If the direction of a signal is distributed due to some environmental phenomenon, however, DOA estimation methods based on the point source assumption ...
Choi, J, Song, Iickho, Lee, SR, Lee, YU
core  

Effects of system imperfection on direction of arrival estimation

, 2000
The estimation of direction of arrival (DOA) of a moving user is one of the most basic functions in intelligent antenna array based modem mobile communication and radar systems. The accuracy of the estimation of DOA is critical in applications.
Yin, Juan
core  

Integrated Algorithms and Multiple Antenna Techniques for Direction of Arrival (DOA) Estimation

, 2013
In this dissertation, we design and develop a novel direction-of-arrival (DOA) finding system. We investigate the problems of DOA finding using canonical and crystallographic antenna array structures, develop a novel integrated algorithm consisting of ...
Xia, Zhenchun
core  

Direction-of-arrival estimation using a mixed ℓ₂,₀ norm approximation

A set of vectors is called jointly sparse when its elements share a common sparsity pattern. We demonstrate how the direction-of-arrival (DOA) estimation problem can be cast as the problem of recovering a joint-sparse representation.
Md Mashud Hyder (21274424), Kaushik Mahata (21268037)   +1 more
core