Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Hai-Tan Tran"'
Publikováno v:
Sensors, Vol 20, Iss 3, p 665 (2020)
The problem of obtaining high range resolution (HRR) profiles for non-cooperative target recognition by coherently combining data from narrowband radars was investigated using sparse reconstruction techniques. If the radars concerned operate within d
Externí odkaz:
https://doaj.org/article/0d6e0322806c46a69dce49961ecece33
Publikováno v:
Sensors, Vol 20, Iss 2, p 513 (2020)
Doppler Radar Tomography (DRT) relies on spatial diversity from rotational motion of a target rather than spectral diversity from wide bandwidth signals. The slow-time k-space is a novel form of the spatial frequency space generated by the relative r
Externí odkaz:
https://doaj.org/article/61bacce5afa0494d9794ea2298971664
Publikováno v:
Sensors, Vol 18, Iss 6, p 1840 (2018)
This paper presents a new image focusing algorithm for sparsity-driven radar imaging of rotating targets. In the general formulation of off-grid scatterers, the sparse reconstruction algorithms may result in blurred and low-contrast images due to dic
Externí odkaz:
https://doaj.org/article/f51ff2fc91a24c41b342fa6b8a536b5a
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 55:3561-3577
This paper presents a new parameter-refined orthogonal matching pursuit method to tackle the dictionary mismatch problem arising in compressive radar imaging of a rotating target with off-grid scatterers. The main idea is to replace the linear least-
Publikováno v:
IET Radar, Sonar & Navigation. 13:1501-1507
This article demonstrates the novel approach of multi-bistatic Doppler radar tomography for high-resolution imaging of a generally non-cooperative target using narrowband signals. An imaging system consisting of a single narrowband transmitter and mu
Publikováno v:
Sensors
Volume 20
Issue 3
Sensors, Vol 20, Iss 3, p 665 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 3
Sensors, Vol 20, Iss 3, p 665 (2020)
Sensors (Basel, Switzerland)
The problem of obtaining high range resolution (HRR) profiles for non-cooperative target recognition by coherently combining data from narrowband radars was investigated using sparse reconstruction techniques. If the radars concerned operate within d
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 2, p 513 (2020)
Sensors
Volume 20
Issue 2
Sensors, Vol 20, Iss 2, p 513 (2020)
Sensors
Volume 20
Issue 2
Doppler Radar Tomography (DRT) relies on spatial diversity from rotational motion of a target rather than spectral diversity from wide bandwidth signals. The slow-time k-space is a novel form of the spatial frequency space generated by the relative r
Publikováno v:
Sensors
Volume 19
Issue 24
Sensors (Basel, Switzerland)
Volume 19
Issue 24
Sensors (Basel, Switzerland)
This paper introduces a new approach to bistatic radar tomographic imaging based on the concept of compressive sensing and sparse reconstruction. The field of compressive sensing has established a mathematical framework which guarantees sparse soluti
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 53:2936-2949
Sparse signal representation is used to coherently separate the main rotor blade components of a helicopter from the composite data of complex time series radar returns. Received signals of this type typically consist of returns from the rotating mai
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