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长春光学精密机械与物... [2]
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会议论文 [2]
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2011 [1]
2006 [1]
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Laser pulse coded signal frequency measuring device based on DSP and CPLD (EI CONFERENCE)
会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, May 24, 2011 - May 26, 2011, Beijing, China
Zhang H.-B.
;
Cao L.-H.
;
Geng A.-H.
;
Li Y.
;
Guo R.-H.
;
Wang T.-F.
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浏览/下载:25/0
  |  
提交时间:2013/03/25
Laser pulse code is an anti-jamming measures used in semi-active laser guided weapons. On account of the laser-guided signals adopting pulse coding mode and the weak signal processing
it need complex calculations in the frequency measurement process according to the laser pulse code signal time correlation to meet the request in optoelectronic countermeasures in semi-active laser guided weapons. To ensure accurately completing frequency measurement in a short time
it needed to carry out self-related process with the pulse arrival time series composed of pulse arrival time
calculate the signal repetition period
and then identify the letter type to achieve signal decoding from determining the time value
number and rank number in a signal cycle by Using CPLD and DSP for signal processing chip
designing a laser-guided signal frequency measurement in the pulse frequency measurement device
improving the signal processing capability through the appropriate software algorithms. In this article
we introduced the principle of frequency measurement of the device
described the hardware components of the device
the system works and software
analyzed the impact of some system factors on the accuracy of the measurement. The experimental results indicated that this system improve the accuracy of the measurement under the premise of volume
real-time
anti-interference
low power of the laser pulse frequency measuring device. The practicality of the design
reliability has been demonstrated from the experimental point of view.
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE)
会议论文
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.
;
Ma D.
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浏览/下载:18/0
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提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task
for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type
the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP
but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly
we use frame grabber to capture the 4-bar target image data. Then according to image gray scale
we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets
along with known target visibility
are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm
demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
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