Results 1 to 10 of about 3,637 (92)

Efficient Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple [PDF]

open access: yesSensors, 2019
Sparse signal processing theory has been applied to synthetic aperture radar (SAR) imaging. In compressive sensing (CS), the sparsity is usually considered as a known parameter. However, it is unknown practically.
Mingqian Liu   +3 more
doaj   +4 more sources

Reduced Degrees of Freedom in Space-Time Adaptive Processing for Space-based Early Warning Radar

open access: yesLeida xuebao, 2022
The clutter of space-based early warning radar exhibits tight coupling in the azimuth-elevation-Doppler domain due to the high speed of satellites and the Earth’s rotation.
Keqing DUAN   +4 more
doaj   +1 more source

Azimuth-range decouple-based L 1 regularization method for wide ScanSAR imaging via extended chirp scaling [PDF]

open access: yesJournal of Applied Remote Sensing, 2017
In this paper, we proposed an azimuth-range decouple-based L1 regularization method for wide ScanSAR imaging via extended chirp scaling (ECS) and applied it to the TerraSAR-X data to achieve large-scale sparse reconstruction. Compared with ECS, the conventional ScanSAR imaging algorithm based on matched filtering, the proposed method can improve the ...
Bi, Hui   +3 more
openaire   +2 more sources

Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth–Range Decouple $L_{1}$ Regularization for TOPS SAR Imaging via CAMP [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2017
This paper proposes a novel azimuth–range decouple-based $L_{1}$ regularization imaging approach for the focusing in terrain observation by progressive scans (TOPS) synthetic aperture radar (SAR). Since conventional $L_{1}$ regularization technique requires transferring the (2-D) echo data into a vector and reconstructing the scene via 2-D ...
Hui Bi   +4 more
openaire   +2 more sources

Comparison of Raw Data-Based and Complex Image-Based Sparse SAR Imaging Methods

open access: yesSensors, 2019
Sparse signal processing has already been introduced to synthetic aperture radar (SAR), which shows potential in improving imaging performance based on raw data or a complex image.
Zhilin Xu   +4 more
doaj   +1 more source

Implications of mean field accretion disc theory for vorticity and magnetic field growth [PDF]

open access: yes, 2000
In addition to the scalar Shakura-Sunyaev $\alpha_{ss}$ turbulent viscosity transport term used in simple analytic accretion disc modeling, a pseudoscalar transport term also arises.
Balbus, E. G. Blackman, Ingersoll
core   +4 more sources

Reducing “Structure from Motion”: a general framework for dynamic vision. 2. Implementation and experimental assessment [PDF]

open access: yes, 1998
For pt.1 see ibid., p.933-42 (1998). A number of methods have been proposed in the literature for estimating scene-structure and ego-motion from a sequence of images using dynamical models. Despite the fact that all methods may be derived from a “natural”
Perona, Pietro, Soatto, Stefano
core   +1 more source

Multi-stage Antenna Selection for Adaptive Beamforming in MIMO Arrays

open access: yes, 2019
Increasing the number of transmit and receive elements in multiple-input-multiple-output (MIMO) antenna arrays imposes a substantial increase in hardware and computational costs.
Aboutanios, Elias   +2 more
core   +1 more source

A Real-Time Millimeter-Wave Phased Array MIMO Channel Sounder

open access: yes, 2017
In this paper, we present a novel real-time MIMO channel sounder for 28 GHz. Until now, the common practice to investigate the directional characteristics of millimeter-wave channels has been using a rotating horn antenna.
Bas, C. Umit   +7 more
core   +1 more source

Optimal Precoders for Tracking the AoD and AoA of a mm-Wave Path [PDF]

open access: yes, 2018
In millimeter-wave channels, most of the received energy is carried by a few paths. Traditional precoders sweep the angle-of-departure (AoD) and angle-of-arrival (AoA) space with directional precoders to identify directions with largest power.
Garcia, Nil   +2 more
core   +2 more sources

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