A Rapid Evaluation Method of Radar Tracking Accuracy

Author(s):  
Zhongwen Zhao ◽  
Xu Zhang ◽  
Guodong Li
2009 ◽  
Vol 15 (10) ◽  
pp. 3624-3632 ◽  
Author(s):  
Yuji Mishima ◽  
Natsuhiko Sugimura ◽  
Yuko Matsumoto-Mishima ◽  
Yasuhito Terui ◽  
Kengo Takeuchi ◽  
...  

2011 ◽  
Vol 121-126 ◽  
pp. 4870-4874
Author(s):  
Miao Li ◽  
Hui Bin Gao

To meet the requirement of high tracking accuracy as well as develop more reasonable evaluation method, in this paper, the General Regression Neural Network (GRNN) has been applied to build the tracking error model of the theodolite. First, we analyze the nonlinear factors in the theodolite. Second, we discuss the principle of GRNN, including its structure, the function as well as its priors. Third, we build the tracking error model based on GRNN and verify the model through the different parameters. The result indicated that the network model based on GRNN has high accuracy and good generalization ability. It could instead the real system to a certain extent. The research in this paper has important value to the engineering practice.


2017 ◽  
Vol 893 ◽  
pp. 389-394
Author(s):  
Zai Bo Li ◽  
Tu Sheng He ◽  
Xu Guang Zhao ◽  
San Yin Zhao

In order to establish a rapid evaluation method of steel slag cementitious activity, extraction test of steel slag in EDTA-NaOH solution have been investigated and the relationship between extraction characteristics and cementitious activity expressed as mortar strength has been analyzed. Results show that the linear relationship between the quantity extracted from steel slag and the mortar compressive strength is significant. According to the analysis results of mineral composition and microscopic morphologies, EDTA-NaOH solution can selectively extract the silicate and aluminate minerals of steel slag, which could be used as a rapid evaluation method of steel slag cementitious activity.


Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3669 ◽  
Author(s):  
Lei Zhong ◽  
Yong Li ◽  
Wei Cheng ◽  
Yi Zheng

A novel robust particle filtering algorithm is proposed for updating both the waveform and noise parameter for tracking accuracy simultaneously and adaptively. The approach is a significant step for cognitive radar towards more robust tracking in random dynamic systems with unknown statistics. Meanwhile, as an intelligent sensor, it would be most desirable for cognitive radar to develop the application of a traditional filter to be adaptive and to expand the adaptation to a wider scope. In this paper, after analysis of the Bayesian bounds and the corresponding cost function design, we propose the cognitive radar tracking method based on a particle filter by completely reconstructing the propagation and the update process with a cognitive structure. Moreover, we develop the cost-reference particle filter based on optimizing the cost function design according to the complicated system or environment with unknown statistics. With this method, the update of the estimation cost and variance arrives at the approximate optimization, and the estimation error can be more adjacent to corresponding low bounds. Simulations about the tracking implementation in unknown noise are utilized to demonstrate the superiority of the proposed algorithm to the existing methods in traditional radar.


2021 ◽  
Author(s):  
Shuo Duan ◽  
Yunfei Long ◽  
Shuyuan Cheng ◽  
Jinyun Li ◽  
Zhigang Ouyang ◽  
...  

Xanthomonas citri subsp. citri (Xcc) is the causal agent of citrus bacterial canker (CBC), one of the most devastating citrus diseases. Most commercial citrus varieties are susceptible to CBC. However, some citrus varieties and wild citrus germplasms are CBC-resistant and are promising in genetic improvements of citrus resistance against CBC. We aimed to evaluate citrus germplasms for resistance against CBC. First, we developed a rapid evaluation method based on enhanced yellow fluorescent protein (eYFP)-labeled Xcc. The results demonstrated that eYFP does not affect the growth and virulence of Xcc. Xcc-eYFP allows measuring of bacterial titers, but is more efficient and rapid than the plate colony counting method. Next, we evaluated citrus germplasms collected in China. Based on symptoms and bacterial titers, we identified that two citrus germplasms (‘Ichang’ papeda, and ‘Huapi’ kumquat) are resistant, whereas eight citrus germplasms (‘Chongyi’ wild mandarin, ‘Mangshan’ wild mandarin, ‘Ledong’ kumquat, ‘Dali’ citron, ‘Yiliang’ citron, ‘Longyan’ kumquat, ‘Bawang’ kumquat and ‘Daoxian’ wild mandarin) are tolerant. In summary, we have developed a rapid evaluation method to test the resistance of citrus plants against CBC. This method was successfully used to identify two highly canker-resistant citrus germplasms and eight citrus germplasms with canker tolerance. These results could be leveraged in traditional breeding contexts or be used to identify canker resistance genes to improve the disease resistance of commercial citrus varieties via biotechnological approaches.


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