摘要 :
For dense multi-target scenarios, the existing Track-Before-Detect (TBD) algorithm based on Probability Hypothesis Density (PHD) has the shortcomings of underestimation of the number of targets and the waste of a large number of p...
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For dense multi-target scenarios, the existing Track-Before-Detect (TBD) algorithm based on Probability Hypothesis Density (PHD) has the shortcomings of underestimation of the number of targets and the waste of a large number of particles. The paper introduces the concept of two-layer particles and combines the Auxiliary Particle Filter (APF) PHD filter with the Parallel Partition (PP) theory to improve the estimation accuracy of the targets' number and state. The simulation results have shown that, compared with the existing PF-PHD-TBD algorithm, the newly proposed algorithm has a significant improvement in the estimation of the targets' number and the state, especially in dense multi-target scenarios.
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摘要 :
For dense multi-target scenarios, the existing Track-Before-Detect (TBD) algorithm based on Probability Hypothesis Density (PHD) has the shortcomings of underestimation of the number of targets and the waste of a large number of p...
展开
For dense multi-target scenarios, the existing Track-Before-Detect (TBD) algorithm based on Probability Hypothesis Density (PHD) has the shortcomings of underestimation of the number of targets and the waste of a large number of particles. The paper introduces the concept of two-layer particles and combines the Auxiliary Particle Filter (APF) PHD filter with the Parallel Partition (PP) theory to improve the estimation accuracy of the targets' number and state. The simulation results have shown that, compared with the existing PF-PHD-TBD algorithm, the newly proposed algorithm has a significant improvement in the estimation of the targets' number and the state, especially in dense multi-target scenarios.
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摘要 :
One of the greatest challenges faced by Zhoushan Project is that AC-isolated island can easily be formed due to the weakness of the AC grid connected to the VSC system and vulnerability to typhoon attack. A strategy based on frequ...
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One of the greatest challenges faced by Zhoushan Project is that AC-isolated island can easily be formed due to the weakness of the AC grid connected to the VSC system and vulnerability to typhoon attack. A strategy based on frequency variation is introduced, which does not rely on breakers' status of AC grid. As a multi-terminal project, the AC-DC topology is complex, which brings new challenge to island mode switching over management. Hence a strategy of assuring only one station switch over to island mode in multiterminal VSC project is developed. A strategy based on alternative current rising and transient blocking of the converter is also designed for switching over back to HVDC mode when a tripped AC line reconnects to HVDC system. The whole strategy is tested in simulation system and applied in Zhoushan Project. In an AC line trip accident in November 2015, the right VSC station shifted to island mode successfully and a blackout was prevented, which proves the whole set of strategy to be useful and reliable.
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摘要 :
One of the greatest challenges faced by Zhoushan Project is that AC-isolated island can easily be formed due to the weakness of the AC grid connected to the VSC system and vulnerability to typhoon attack. A strategy based on frequ...
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One of the greatest challenges faced by Zhoushan Project is that AC-isolated island can easily be formed due to the weakness of the AC grid connected to the VSC system and vulnerability to typhoon attack. A strategy based on frequency variation is introduced, which does not rely on breakers' status of AC grid. As a multi-terminal project, the AC-DC topology is complex, which brings new challenge to island mode switching over management. Hence a strategy of assuring only one station switch over to island mode in multiterminal VSC project is developed. A strategy based on alternative current rising and transient blocking of the converter is also designed for switching over back to HVDC mode when a tripped AC line reconnects to HVDC system. The whole strategy is tested in simulation system and applied in Zhoushan Project. In an AC line trip accident in November 2015, the right VSC station shifted to island mode successfully and a blackout was prevented, which proves the whole set of strategy to be useful and reliable.
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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 :
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 :
The registration problem is a prerequisite process for radar networking systems to estimate and correct systematic errors accurately. Some classical registration algorithms are all based on stereographic projection, which introduc...
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The registration problem is a prerequisite process for radar networking systems to estimate and correct systematic errors accurately. Some classical registration algorithms are all based on stereographic projection, which introduces errors to the registration of the long distance sensors. We present a generalized least squares registration algorithm (ECEF-GLS) in an Earth-centered Earth-fixed coordinate system. The new approach solves the registration between the long distance sensors, and the covariance of the estimation achieves the Cramer-Rao bound (CRLB), ignoring the errors of the linear model. Simulated data are used to evaluate the performance of the proposed algorithm. Comparisons are made to the ECEF-LS algorithms proposed by Zhou.
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摘要 :
Registration problem is a prerequisite process for radar networking system to estimate and correct systematic errors accurately. Some classical registration algorithms are all based on the stereographic projection, which introduce...
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Registration problem is a prerequisite process for radar networking system to estimate and correct systematic errors accurately. Some classical registration algorithms are all based on the stereographic projection, which introduces errors to the registration of the long distance sensors. In this work, we present a generalized least squares registration algorithm (ECEF-GLS) in an Earth-centered Earth-fixed coordinate system. The new approach solves the registration between the long distance sensors, and the covariance of the estimation achieves the Cramer-Rao bound (CRLB) ignoring the errors of the linear model. Simulated data are used to evaluate the performance of the proposed algorithm. Comparisons are made to the ECEF-LS algorithms proposed by Zhou.
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摘要 :
The registration problem is a prerequisite process for radar networking systems to estimate and correct systematic errors accurately. Some classical registration algorithms are all based on stereographic projection, which introduc...
展开
The registration problem is a prerequisite process for radar networking systems to estimate and correct systematic errors accurately. Some classical registration algorithms are all based on stereographic projection, which introduces errors to the registration of the long distance sensors. We present a generalized least squares registration algorithm (ECEF-GLS) in an Earth-centered Earth-fixed coordinate system. The new approach solves the registration between the long distance sensors, and the covariance of the estimation achieves the Cramer-Rao bound (CRLB), ignoring the errors of the linear model. Simulated data are used to evaluate the performance of the proposed algorithm. Comparisons are made to the ECEF-LS algorithms proposed by Zhou.
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