High resolution ISAR imaging of high speed moving targets

2005 ◽  
Vol 152 (2) ◽  
pp. 58 ◽  
Author(s):  
M. Xing ◽  
R. Wu ◽  
Z. Bao
Keyword(s):  
High Resolution ◽  
High Speed ◽  
Moving Targets ◽  
Isar Imaging

ISAR imaging of high-speed moving targets in short-range using impulse radar

2015 ◽  
Vol 26 (5) ◽  
pp. 964-972 ◽  
Author(s):  
Xinpeng Zhou ◽  
Guohua Wei ◽  
Dawei Wang ◽  
Xu Wang ◽  
Siliang Wu
Keyword(s):  
High Speed ◽  
Short Range ◽  
Moving Targets ◽  
Isar Imaging

Results of high-resolution ISAR imaging of ground moving targets

2013 ◽  
Author(s):  
Janusz S. Kulpa ◽  
Damian Gromek ◽  
Piotr Samczyski ◽  
Krzysztof Kulpa ◽  
Artur Gromek ◽  
...  
Keyword(s):  
High Resolution ◽  
Moving Targets ◽  
Isar Imaging

Microwave photonic based high-resolution ISAR imaging system for high-speed target

2021 ◽  
Author(s):  
Zhengyuan Zhu ◽  
Shaowen Peng ◽  
Yirong Xu ◽  
Xiaoping Zheng
Keyword(s):  
High Resolution ◽  
High Speed ◽  
Imaging System ◽  
Microwave Photonic ◽  
Isar Imaging

Electrical Probing and Surface Imaging of Deep Sub-Micron Integrated Circuits

1999 ◽  
Author(s):  
Kenneth Krieg ◽  
Richard Qi ◽  
Douglas Thomson ◽  
Greg Bridges
Keyword(s):  
High Resolution ◽  
Integrated Circuits ◽  
Real Time ◽  
High Speed ◽  
Time Signal ◽  
Surface Imaging ◽  
Atomic Force ◽  
Submicron Structures ◽  
High Resolution Images ◽  
Capacitive Loading

Abstract A contact probing system for surface imaging and real-time signal measurement of deep sub-micron integrated circuits is discussed. The probe fits on a standard probe-station and utilizes a conductive atomic force microscope tip to rapidly measure the surface topography and acquire real-time highfrequency signals from features as small as 0.18 micron. The micromachined probe structure minimizes parasitic coupling and the probe achieves a bandwidth greater than 3 GHz, with a capacitive loading of less than 120 fF. High-resolution images of submicron structures and waveforms acquired from high-speed devices are presented.

scholarly journals High-Resolution ISAR Imaging and Autofocusing via 2D-ADMM-Net

2021 ◽  
Vol 13 (12) ◽  
pp. 2326
Author(s):  
Xiaoyong Li ◽  
Xueru Bai ◽  
Feng Zhou
Keyword(s):  
Deep Learning ◽  
High Resolution ◽  
Phase Error ◽  
Random Phase ◽  
Back Propagation ◽  
Estimation Method ◽  
Data Driven ◽  
Reconstruction Performance ◽  
Imaging Results ◽  
Isar Imaging

A deep-learning architecture, dubbed as the 2D-ADMM-Net (2D-ADN), is proposed in this article. It provides effective high-resolution 2D inverse synthetic aperture radar (ISAR) imaging under scenarios of low SNRs and incomplete data, by combining model-based sparse reconstruction and data-driven deep learning. Firstly, mapping from ISAR images to their corresponding echoes in the wavenumber domain is derived. Then, a 2D alternating direction method of multipliers (ADMM) is unrolled and generalized to a deep network, where all adjustable parameters in the reconstruction layers, nonlinear transform layers, and multiplier update layers are learned by an end-to-end training through back-propagation. Since the optimal parameters of each layer are learned separately, 2D-ADN exhibits more representation flexibility and preferable reconstruction performance than model-driven methods. Simultaneously, it is able to better facilitate ISAR imaging with limited training samples than data-driven methods owing to its simple structure and small number of adjustable parameters. Additionally, benefiting from the good performance of 2D-ADN, a random phase error estimation method is proposed, through which well-focused imaging can be acquired. It is demonstrated by experiments that although trained by only a few simulated images, the 2D-ADN shows good adaptability to measured data and favorable imaging results with a clear background can be obtained in a short time.

High-speed high-resolution CMOS voltage comparator

1986 ◽  
Vol 22 (6) ◽  
pp. 338 ◽  
Author(s):  
W.T. Ng ◽  
C.A.T. Salama
Keyword(s):  
High Resolution ◽  
High Speed ◽  
Voltage Comparator
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