摘要 :
On the basis of classification, rough set theory regards knowledge as
partition over data using equivalence relation. Rough set theory is deeply studied
in this paper and introduced into the problem of emitter recognition, based...
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On the basis of classification, rough set theory regards knowledge as
partition over data using equivalence relation. Rough set theory is deeply studied
in this paper and introduced into the problem of emitter recognition, based on
which a new emitter signal recognition model is presented. At the same time, a
new method of determining weight coefficients is proposed, which is independent
of a prior knowledge. And a new classification rule is also presented in this paper.
At last, application example is given, which demonstrates this new method is
accurate and effective. Moreover, computer simulation of recognizing radar
emitter purpose is selected, and compared with fuzzy pattern recognition and
classical statistical recognition algorithm through simulation. Experiments results
demonstrate the excellent performance of this new recognition method as
compared to existing two pattern recognition techniques. A brand-new method is
provided for researching on emitter recognition.
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摘要 :
The edge demodulation structure consisting of a micro-ring resonator and an asymmetric M-Z interferometer is proposed and investigated for applications in sensing system. According to the linear conversion between wavelength and i...
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The edge demodulation structure consisting of a micro-ring resonator and an asymmetric M-Z interferometer is proposed and investigated for applications in sensing system. According to the linear conversion between wavelength and intensity in the demodulation principle, the parameters affecting the linear region of spectral response are analyzed theoretically. Numerical analysis shows that the ratio of δ to Δφ is 0.5 is the best premise to realize wavelength demodulation. The accuracy decreases with the increase of coupling coefficient K, but the demodulation range is improved. The change of coupling angle k_1 and k_2 makes the waveform shrink according to a certain rule, thus changing the detection sensitivity. Meanwhile, the demodulation performance improves as the transmission factor α increases.
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摘要 :
The edge demodulation structure consisting of a micro-ring resonator and an asymmetric M-Z interferometer is proposed and investigated for applications in sensing system. According to the linear conversion between wavelength and i...
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The edge demodulation structure consisting of a micro-ring resonator and an asymmetric M-Z interferometer is proposed and investigated for applications in sensing system. According to the linear conversion between wavelength and intensity in the demodulation principle, the parameters affecting the linear region of spectral response are analyzed theoretically. Numerical analysis shows that the ratio of δ to Δφ is 0.5 is the best premise to realize wavelength demodulation. The accuracy decreases with the increase of coupling coefficient K, but the demodulation range is improved. The change of coupling angle k_1 and k_2 makes the waveform shrink according to a certain rule, thus changing the detection sensitivity. Meanwhile, the demodulation performance improves as the transmission factor α increases.
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摘要 :
Focusing on the problem that when should sensor bias need to be estimated and corrected in a distributed multi-sensor system, real-time detection of sensor bias is studied based on the test statistic. First, effects of sensor bias...
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Focusing on the problem that when should sensor bias need to be estimated and corrected in a distributed multi-sensor system, real-time detection of sensor bias is studied based on the test statistic. First, effects of sensor bias to tracks reported by each sensor at fusion center are analyzed. Then the test statistic of real-time detection of sensor bias is given, while the detection threshold with criteria is also provided. Finally, several appropriate simulation environments are built to analyze the detection of sensor bias. Further real data are used to test the performance of the detection algorithm. And simulation results and real data test results demonstrate the reliability and applicability of the detection algorithm presented in this paper.
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摘要 :
Data association, one of the key and difficult problems for multitarget
tracking, is the decision process of linking the measurements or the tracks
deemed to be of common origin under certain criteria. All typical data
associat...
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Data association, one of the key and difficult problems for multitarget
tracking, is the decision process of linking the measurements or the tracks
deemed to be of common origin under certain criteria. All typical data
association algorithms can be deducted into special Multidimensional
Assignment Problem. However, present S-D assignment algorithm only
associates the synchronous measurements from different sensors, which only
generate the static result. In this paper, the static assignment algorithm(S-D) has
been generalized to the dynamic Multidimensional Assignment Problem by
means of combining the measurements set and the tracks set. The main
challenge in the assignment problem is that it is NP-hard. The solution using
Hopfield neural network (HNN) is presented in this paper. The simulation
results illustrate that this method can decrease the computing burden greatly.
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摘要 :
In this paper, a new real-time registration algorithm for multiple sensors is proposed to accurately estimate and correct the systematic errors of a data fusion system. With regarding multiple tracks, the extended RTKF is also pre...
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In this paper, a new real-time registration algorithm for multiple sensors is proposed to accurately estimate and correct the systematic errors of a data fusion system. With regarding multiple tracks, the extended RTKF is also presented. Simulation shows that two algorithms are effective, and the RTKF algorithm has the similar precision to the RTQC algorithm while the systematic errors are invariable, but the online performance makes the RTKF algorithm and ERTKF algorithm more adaptive for engineering.
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摘要 :
In this paper, a new real-time registration algorithm for multiple sensors is proposed to accurately estimate and correct the systematic errors of a data fusion system. With regarding multiple tracks, the extended RTKF is also pre...
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In this paper, a new real-time registration algorithm for multiple sensors is proposed to accurately estimate and correct the systematic errors of a data fusion system. With regarding multiple tracks, the extended RTKF is also presented. Simulation shows that two algorithms are effective, and the RTKF algorithm has the similar precision to the RTQC algorithm while the systematic errors are invariable, but the online performance makes the RTKF algorithm and ERTKF algorithm more adaptive for engineering.
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摘要 :
Wigner-Viile distribution has good time-frequency characteristics. I terms are oscillatory at high frequency. To suppress the cross terms, multi^ analysis is adopted to decompose and reconstruct signals' Wigner-Vilie disit Compare...
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Wigner-Viile distribution has good time-frequency characteristics. I terms are oscillatory at high frequency. To suppress the cross terms, multi^ analysis is adopted to decompose and reconstruct signals' Wigner-Vilie disit Compared with the other time-frequency representation methods, simulation demonstrate that multiwavelets analysis is very effective to eliminate the crtv while keep good resolution.
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摘要 :
Wigner-Ville distribution has good time-frequency characteristics. Its cross terms are oscillatory at high frequency. To suppress the cross terms, multiwavelets analysis is adopted to decompose and reconstruct signals' Wigner-Vill...
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Wigner-Ville distribution has good time-frequency characteristics. Its cross terms are oscillatory at high frequency. To suppress the cross terms, multiwavelets analysis is adopted to decompose and reconstruct signals' Wigner-Ville distribution. Compared with the other time-frequency representation methods, simulation results demonstrate that multiwavelets analysis is very effective to eliminate the cross terms while keep good resolution.
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摘要 :
Wigner-Ville distribution has good time-frequency characteristics. Its cross terms are oscillatory at high frequency. To suppress the cross terms, multiwavelets analysis is adopted to decompose and reconstruct signals' Wigner-Vill...
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Wigner-Ville distribution has good time-frequency characteristics. Its cross terms are oscillatory at high frequency. To suppress the cross terms, multiwavelets analysis is adopted to decompose and reconstruct signals' Wigner-Ville distribution. Compared with the other time-frequency representation methods, simulation results demonstrate that multiwavelets analysis is very effective to eliminate the cross terms while keep good resolution.
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