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Ding Y.-Y.,Jiangsu Automation Research Institute
IEEE Region 10 Annual International Conference, Proceedings/TENCON | Year: 2013

Target association is a crucial technique in information fusion of underwater platform and its weapon sensors, which can generate a more clear situation picture. In this paper, DEMON spectrum analysis was used for target association of two platforms to improve the association performance. Based on the computation of the similarity of DEMON spectrum, an improved cross-correlation method was introduced for spectrum association and the comparision of it with two classical methods was conducted. The simulation results using sea recorded data show that the correlation-based methods can realize the right association between the same targets and have potential application in practical system. © 2013 IEEE. Source

Ning S.,Jiangsu Automation Research Institute
Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 | Year: 2013

On the assumption that measurement errors of range and bearing are zero-mean and Gaussian distributed, a method of estimating the moving target's likely position or AOU(Area Of Uncertainty) is presented based on the estimation of motion parameters. It exploits least square method to estimate the error of initial location vector and displacement vector. Through vectors synthesis of two kind of location error, precise expressions of confidence ellipse have been derived with 2-dimentional joint probability density function. Quantitative description of confidence probability for AOU has been made. The simulation result reveals that AOU can be precisely represented by the confidence ellipses. Presented approach and obtained results may be useful in underwater target tracking and command decision-making application. © 2013 IEEE. Source

Pan J.-H.,Jiangsu Automation Research Institute
Proceedings of 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 | Year: 2013

To focus of this paper is on the estimation for the ship-borne radar detecting systematic or registration errors. According to the ship-borne radar data processing, the types of bias are divided into four main categories: radar measurement biases, ship-position biases, attitude biases and baseline transform biases. In this paper, we present an algorithm that uses detecting data for estimation of equivalent biases. Our approach is unique for two reasons. Firstly, we explicitly avoid the use of individual biases and use equivalent biases model the four main class biases, This leads to a highly nonlinear bias model that contains 12 unknown parameters. Secondly, we use the singular value decomposition (SVD) within least-squares estimator to automatically handle the issue of parameter observability. Finally, according to two different simulation scenes, we demonstrate that our algorithm can improve track accuracy, especially for ship-borne radar. © 2013 IEEE. Source

Song C.,Jiangsu Automation Research Institute
Lecture Notes in Electrical Engineering | Year: 2015

The intelligent 1553B-bus communication module based on the ARM platform is mainly applied to extending the 1553B-bus interface of the Compact PCI computer system. In terms of hardware, the module adopts the ARM control unit and dual-port RAM while incorporating the round buffer design with respect to software, which effectively strengthens the stability of data transmission and substantially decreases the possibility of data loss during transmission. © Springer International Publishing Switzerland 2015. Source

Zhao Y.,Jiangsu Automation Research Institute
Proceedings of IEEE International Conference on Grey Systems and Intelligent Services, GSIS | Year: 2015

In software reliability testing based on Markov chain usage model, how to assign the migrating probability between states of the Markov chain usage model is still a problem yet to be solved. In order to deal with the problems such as the sample data for estimating the migrating probability being small and uncertain, a migrating probability assignment method based on a three-parameter interval number is proposed to build the Markov chain usage model. The method for generating test cases is also given. An example shows in this paper, the software usage model based on the three-parameter interval number is closer to the actual situation, and the software reliability testing efficiency is improved. © 2015 IEEE. Source

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