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The automotive radar may sometimes be covered with snow, dirt, or other obscurants, a state which we refer to as radar blockage. The radar must be able to detect blockage as a fault state. In this paper, we report on an algorithm ...
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The automotive radar may sometimes be covered with snow, dirt, or other obscurants, a state which we refer to as radar blockage. The radar must be able to detect blockage as a fault state. In this paper, we report on an algorithm to detect blockage in an automotive radar by direct examination of the range-Doppler map.
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摘要 :
The automotive radar may sometimes be covered with snow, dirt, or other obscurants, a state which we refer to as radar blockage. The radar must be able to detect blockage as a fault state. In this paper, we report on an algorithm ...
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The automotive radar may sometimes be covered with snow, dirt, or other obscurants, a state which we refer to as radar blockage. The radar must be able to detect blockage as a fault state. In this paper, we report on an algorithm to detect blockage in an automotive radar by direct examination of the range-Doppler map.
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The goal of this article is to provide updated results for the proof of concept that digital signal processing has progressed to the point of equivalence to traditional analog Doppler flow meter designs. This article will show the...
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The goal of this article is to provide updated results for the proof of concept that digital signal processing has progressed to the point of equivalence to traditional analog Doppler flow meter designs. This article will show the non-linear formula and a new correction filter coefficients for low end carrier frequency noise previously uncorrected.
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The goal of this article is to provide the final results for the proof of concept that digital signal processing has progressed to the point of equivalence to traditional analog Doppler flow meter designs. This article is a contin...
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The goal of this article is to provide the final results for the proof of concept that digital signal processing has progressed to the point of equivalence to traditional analog Doppler flow meter designs. This article is a continuation of articles CSC3521 [1] and CSC3102 [2] published previously at this conference. The goal of this article is to show the final peripheral schematic, some of the key software code, and the final testing results from the microcontroller calculating the same test data.
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We report flow measurements based on the photoacoustic Doppler effect. We have performed flow experiments with a suspension of micrometer carbon particles and have detected the photoacoustic Doppler shift at various average flow s...
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We report flow measurements based on the photoacoustic Doppler effect. We have performed flow experiments with a suspension of micrometer carbon particles and have detected the photoacoustic Doppler shift at various average flow speeds. We have also observed the directional dependence of the photoacoustic Doppler shift. Our experiment is based on the continuous wave (cw) photoacoustic generation. It is the goal of noninvasively monitoring hemodynamics in functional photoacoustic imaging that motivates our study.
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摘要 :
We report flow measurements based on the photoacoustic Doppler effect. We have performed flow experiments with a suspension of micrometer carbon particles and have detected the photoacoustic Doppler shift at various average flow s...
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We report flow measurements based on the photoacoustic Doppler effect. We have performed flow experiments with a suspension of micrometer carbon particles and have detected the photoacoustic Doppler shift at various average flow speeds. We have also observed the directional dependence of the photoacoustic Doppler shift. Our experiment is based on the continuous wave (cw) photoacoustic generation. It is the goal of noninvasively monitoring hemodynamics in functional photoacoustic imaging that motivates our study.
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This paper focuses on the interference suppression for satellite-borne Marine Automatic Identification System (AIS). Based on the analysis for the two kinds of interferences, Doppler frequency diversity method is proposed to suppr...
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This paper focuses on the interference suppression for satellite-borne Marine Automatic Identification System (AIS). Based on the analysis for the two kinds of interferences, Doppler frequency diversity method is proposed to suppress the interference by making use of known satellite orbit. Besides, an iterative reception method is proposed to overcome the Doppler frequency ambiguity existing in some special cases for the first conflict. Both the analysis and simulation show proposed joint interference suppression strategy is powerful for suppressing interference and achieves higher packet detection probability, increasing by 10%–20% compared to the traditional method.
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摘要 :
This paper focuses on the interference suppression for satellite-borne Marine Automatic Identification System (AIS). Based on the analysis for the two kinds of interferences, Doppler frequency diversity method is proposed to suppr...
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This paper focuses on the interference suppression for satellite-borne Marine Automatic Identification System (AIS). Based on the analysis for the two kinds of interferences, Doppler frequency diversity method is proposed to suppress the interference by making use of known satellite orbit. Besides, an iterative reception method is proposed to overcome the Doppler frequency ambiguity existing in some special cases for the first conflict. Both the analysis and simulation show proposed joint interference suppression strategy is powerful for suppressing interference and achieves higher packet detection probability, increasing by 10%–20% compared to the traditional method.
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Doppler Weather Radar (DWR) plays an important role in short-term forecast and now-casting, and the weather radar data could be used for rainfall estimation of a certain region or other further processing. We improved the algorith...
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Doppler Weather Radar (DWR) plays an important role in short-term forecast and now-casting, and the weather radar data could be used for rainfall estimation of a certain region or other further processing. We improved the algorithm of rainfall estimation based on Radical Basis Function Neural Network (RBFNN), and optimized the key parameters of RBFNN such as centers, length and link weights of the neural network with Cuckoo Search (CS). In order to realize the match of the weather radar data and the rain gauge data in time, we proposed the Time Interpolation Method (TIM). This rainfall estimation model from weather radar data was called CS-RBFNN model, which was employed in a rainfall estimation algorithm of DWR. The experimental results show that the estimated results are more close to the measured rainfall with the CS-RBFNN model.
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摘要 :
Doppler Weather Radar (DWR) plays an important role in short-term forecast and now-casting, and the weather radar data could be used for rainfall estimation of a certain region or other further processing. We improved the algorith...
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Doppler Weather Radar (DWR) plays an important role in short-term forecast and now-casting, and the weather radar data could be used for rainfall estimation of a certain region or other further processing. We improved the algorithm of rainfall estimation based on Radical Basis Function Neural Network (RBFNN), and optimized the key parameters of RBFNN such as centers, length and link weights of the neural network with Cuckoo Search (CS). In order to realize the match of the weather radar data and the rain gauge data in time, we proposed the Time Interpolation Method (TIM). This rainfall estimation model from weather radar data was called CS-RBFNN model, which was employed in a rainfall estimation algorithm of DWR. The experimental results show that the estimated results are more close to the measured rainfall with the CS-RBFNN model.
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