Results 211 to 220 of about 8,655 (261)
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Correlation target recognition for laser radar

SPIE Proceedings, 2006
The target recognition of laser radar is a hot research because laser radar can produce the intensity and range imagery. Laser radar has high space resolution, and can obtain rich target information. Correlation recognition has been used to many fields, such as infrared as well as synthetic aperture radar (SAR).
JianFeng Sun   +4 more
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Radar target recognition using least squares estimate

Microwave and Optical Technology Letters, 2001
AbstractA new scheme for radar target discrimination which is independent of an aspect angle is proposed in the frequency domain. A system of linear equations is constructed using the frequency response of an unknown target and stored natural frequencies of a particular target. Whether an unknown target is a particular target or not is determined using
Lee, JH, Kim, HT
openaire   +2 more sources

Model-catalog compression for radar target recognition

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
In many model-based automatic target recognition (ATR) systems the size of the model catalog can be a critical factor in determining the viability of the system. We examine an ATR system which uses synthetic high range resolution (HRR) radar data to determine how the classification performance is affected by the compression of the HRR model catalog ...
B. Ulug, S.C. Ahalt, R.A. Mitchell
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Radar target recognition based on fuzzy clustering

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344), 2002
A new method of recognizing the aircraft number of a radar target from a narrowband IF signal of non-coherent radar is presented. According to the received narrowband IF echo signal, its autocorrelation matrix is computed. The feature vector is the eigenvalue of the autocorrelation matrix, and the orthogonal transformation is accomplished to remove the
null Jiang Jing   +5 more
openaire   +1 more source

Radar target recognition using compressive backscatter

2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2017
This paper compares various approaches to target classification either using frequency-domain data recorded via stepped-frequency radar with compressive measurements, or using ultra-wideband radar data in the time-domain with compressive measurements. Real radar backscatter of commercial aircraft models is used in this study.
openaire   +1 more source

Automatic target recognition in laser radar imagery

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper presents an automatic target recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation is performed in both the range and non-range LADAR channels and results combined to increase object
M. Snorrason, H. Ruda, A. Caglayan
openaire   +1 more source

Problems in airborne radar target recognition

Inverse Problems, 1994
A brief overview of techniques which can be applied to the problem of radar-based classification and recognition of airborne targets from airborne platforms is presented. Of particular interest are applications of radar tracking and identification methods to small airborne missile systems.
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Radar target recognition using dynamic system model

2014 IEEE Radar Conference, 2014
High resolution range profile (HRRP) is being known as one of the most powerful tools for radar target recognition. The main problem with range profile for radar target recognition is its sensitivity to aspect angle. To overcome this problem, consecutive samples of HRRP were assumed to be identically independently distributed (IID) in small frames of ...
Abdollah Ajorloo   +3 more
openaire   +1 more source

Methods of target recognition for UWB radar

2010 IEEE Intelligent Vehicles Symposium, 2010
With the growth of embedded components (GPS, radar, cameras…), road vehicle becomes more and more intelligent and reassuring.
Sakkila, Laila   +5 more
openaire   +2 more sources

Radar target recognition using structured sparse representation

Automatic Target Recognition XXX, 2020
Radar target recognition using structured sparse representation is the focus of this paper. Block-sparse representation and recovery is applied to the radar target recognition problem assuming a stepped-frequency radar is used. The backscatter of commercial aircraft models as recorded in a compact range is used to train and test a block-sparse based ...
openaire   +1 more source

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