Naval Arms Command Academy

Guangzhou, China

Naval Arms Command Academy

Guangzhou, China
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Leng H.-P.,Guangdong University of Technology | Leng H.-P.,Naval Arms Command Academy | Liu P.,Academy of Equipment Command and Technology | Wu X.-F.,Naval Arms Command Academy
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2010

Based on error classification and closed loop correction principle of closed loop anti-missile shipborne gun, the simulation model of all kinds of firing error sequence in a fire process was established. The kalman filter equation used to estimate the miss distance was proposed. So the miss distance estimation and error correction process of closed loop anti-missile shipborne gun were simulated in more detail. According to the characteristics of coming missile target which closed loop anti-missile shipborne gun fire, the models for future position and hitting radius of target calculation were established. In order to construct complete simulation model of closed loop anti-missile shipborne gun firing missile target in an airway, the simulation methods of hitting event and killing target event were introduced, and the simulation time determined method was demonstrated. At last, the simulation result was listed and analyzed simply.


Fu T.,Naval Arms Command Academy | Ya-Ling S.,Chinese Naval Aeronautical Engineering Academy
International Journal of Modelling, Identification and Control | Year: 2011

A preemption MO particle swarm optimisation algorithm is designed and realised. By analysing the particularity of military navigation, the paper has proposed the model of warship course optimisation problem in island region based on multi-objective optimisation. Analysing the pluses and minuses of several kinds of multi-objective particle swarm optimisation algorithms at present, aiming at the deficiencies of these algorithms, the paper has proposed a preemption multi-objective particle swarm optimisation algorithm for warship course optimisation problem. Comparative method is adopted to update local optimum P i. At the same time, propose the method based on preemption strategy, maintaining the colony variety strongly. Lastly, adopt the method of infeasibility degree to deal with multi-obligation. The experiment results demonstrate that the proposed algorithm can solve warship course optimisation problem well, improving the performance on generation distance, spacing and error rate. Copyright © 2011 Inderscience Enterprises Ltd.


Zhu F.,Wuhan University of Technology | Huang X.F.,Naval Arms Command Academy
Applied Mechanics and Materials | Year: 2012

The main idea of this paper is to calculate the entire process capability of the Complex Product Machining Process (CPMP) based on modified tradition process capability index and then further decide the improvement orientation and size to individual process parameter through sensitivity analysis. We illustrate the method by a three-stage machining process. The results have shown that the proposed method could significantly improve the process capability. © (2012) Trans Tech Publications, Switzerland.


Hongkai W.,Wuhan University | Pingbo W.,Wuhan University | Zhiming C.,Wuhan University | Baozhu C.,Army Unit 91388 | Wanjun Y.,Naval Arms Command Academy
IASP 10 - 2010 International Conference on Image Analysis and Signal Processing | Year: 2010

The most common method of extremum searching for linear frequency modulation (LFM) signal in fractional Fourier domain is the step-based algorithm. But this method is inefficient and time consuming, which affects the application of fractional Fourier transform. In order to overcome this shortcoming, the particle swarm optimization method is introduced and applied successfully in fractional Fourier transform. The influences of different particle numbers and inertia weights are talked about and analyzed extensively. Simulation results show that the performance of particle swarm optimization method is much better than that of the step-based method. It seems that the particle swarm optimization method with proper linearly decreasing inertia weight strategy is more preferable in terms of efficiency, precision, and resolution. ©2010 IEEE.


Huang W.,Wuhan Naval University of Engineering | Yang P.,Naval Arms Command Academy
Tongji Daxue Xuebao/Journal of Tongji University | Year: 2010

An adaptive filter method of linear frequency modulation(LFM) signal in white noise is discussed, and a LFM signal is produced. The LFM signal is transformed to sinusoid signal by Fourier reverse transform(FRFT). The adaptive filter, which can be replaced by swept filter, is implemented in domain u, and the filtered signal is gained with the fractional FRFT. A detailed analysis of the method performance proves that the method performance depends on adaptive filter. When LMS algorithm is used, the performance of ALE is decided by step parameter, and the step parameter is selected in practice. At last, Simulation results show that this filtering algorithm is simple to commutated and easy to implement.


Zhang M.,Dalian Naval Academy | Wang H.,Dalian Naval Academy | Lv S.,Dalian Naval Academy | Wang D.,Dalian Naval Academy | Song J.,Naval Arms Command Academy
Advanced Materials Research | Year: 2010

Take example for the Neural Networks Distinguishing Chemical Agents (NNDCA) model, the study and application about the multi-sensors information fusion (MSIF) technology is researched, the model of Naval Ships Chemical Detection (NSCD) system based on multi-sensors fusion is built, the basic method of the NNDCA is analyzed, and the realization idea of the NNDCA model is put forward. For fastness and accuracy and automation, connecting the wavelet analysis with the neural networks organically, the model of the NNDCA by the returning neural networks with deviation unit and the method of the feature extraction for the chemical agents based on the wavelet analysis are established. After analyzing and discussing the results a conclusion is drawn that it is a kind of valid method to realize the automation and intelligence of distinguishing chemical agents using the neural networks combined with the multi-sensors.


Zhan K.,Naval Arms Command Academy | Wang J.,Naval Arms Command Academy
Proceedings - 4th International Conference on Information and Computing, ICIC 2011 | Year: 2011

Anti submarine warfare is the problem of searching and relocating the submarine after momentarily revealing its position. The conventional submarines run on its batteries when submerged and the submarine's evasion effect is constrainted with not only its top speed but also its battery energy.The conventional submarine's velocity and energy are two important constrained conditions in escaping. With analyzing the typical anti-submarine warfare model and process, the Game Theory is applied in researching the submarine evasion effect constrained by the submarine's velocity and battery energy. © 2011 IEEE.


Zhan K.,Naval Arms Command Academy | Yu B.,Naval Arms Command Academy | Wang J.,Naval Arms Command Academy
Applied Mechanics and Materials | Year: 2011

The conventional submarine has the disadvantages of not-so-fast evasive speed, and the limited capability of torpedo countermeasure systems. There are two types of countermeasures: decoys and jammers.A successful anti-torpedo tactic should consist of the deployment of mixed decoys and jammers and the coordination with the submarine's maneuver. This paper would like to discuss the anti-torpedo tactics from the classical viewpoint A simulation scenario is implemented in order to study the interaction among the submarine, torpedo,decoy and jammers.After applying the evolutionary algorithm, it is interesting to discover some points about anti-torpedo tactics using a mix of decoys and jammers that would make a significant contribution to the survivability of submarine in the torpedoes engagement scenario. © (2011) Trans Tech Publications.


Zhang M.,Dalian Naval Academy | Wang D.,Dalian Naval Academy | Lv S.,Dalian Naval Academy | Song J.,Naval Arms Command Academy | Huang Y.,Dalian Naval Academy
Sensor Letters | Year: 2011

For the fastness and accuracy, the speedy features extraction and identification system for chemical agents is founded using the multi-sensors information fusion (MSIF) technology. Firstly, the review about the MSIF technology is researched in the Warships Chemical Detection (WCD) field, the basic method of the neural networks distinguishing chemical agents is analyzed, and the model based on the multi-sensors fusion is built. Secondly, take example for the neural networks distinguishing chemical agent model in the WCD system, its basic method is analyzed, its application thinking is put forward, and its information fusion flow is discussed. Thirdly, the chemical agents feature extraction method based on the wavelet analysis is put forward, and the systemic hardware realization and software structure are discussed. Lastly, the experiment and simulation results show that this is a kind of valid methods to realize the automation and intelligence of distinguishing chemical agents using the neural networks combined with the multi-sensors, and the method can remarkably heighten the accuracy and credibility of the measurement results, and the results are of repeatability. Copyright © 2011 American Scientific Publishers.


Wen J.,Naval Arms Command Academy | Cao W.,Naval Arms Command Academy
Proceedings - International Conference on Natural Computation | Year: 2012

To explore the role of multipartite entanglement in Grover's algorithm, we generalized the Meyer-Wallach measure to include all possible bipartitions of the system, and use this generalized measure as the quantify of multipartite entanglement. It is shown that along with the bipartite entanglement during the process of adiabatic quantum search algorithm, multipartite entanglement also exists and evolution with the system. Moreover, similar scaling behaviors show both in bipartite and multipartite case. © 2012 IEEE.

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