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A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments 期刊论文
Applied Intelligence, 2019, 卷号: Vol.49 No.7, 页码: 2603-2622
作者:  Hongwei Tang;  Wei Sun;  Hongshan Yu;  Anping Lin;  Min Xue
收藏  |  浏览/下载:14/0  |  提交时间:2019/12/13
A multirobot target searching method based on bat algorithm in unknown environments 期刊论文
Expert Systems with Applications, 2019, 页码: 112945
作者:  Hongwei Tang;  Wei Sun;  Hongshan Yu;  Anping Lin;  Min Xue
收藏  |  浏览/下载:13/0  |  提交时间:2019/12/17
A novel hybrid algorithm based on PSO and FOA for target searching in unknown environments 期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: Vol.49 No.7, 页码: 2603-2622
作者:  Tang, HW;  Sun, W;  Yu, HS;  Lin, AP;  Xue, M
收藏  |  浏览/下载:17/0  |  提交时间:2019/12/17
Research on target node analysis technology in complex network 期刊论文
Journal of Discrete Mathematical Sciences and Cryptography, 2018, 卷号: 21, 页码: 1157-1165
作者:  Tian, Runhu;  Zhang, Yanbin
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/19
The Sustainable Tracking Strategy of Moving Target by UAV in an Uncertain Environment 会议论文
35th Chinese Control Conference (CCC), Chengdu, PEOPLES R CHINA, 2016-07-27
作者:  Zhao Changchun;  Zhu Ming;  Liang Haoquan;  Wu Zhe
收藏  |  浏览/下载:11/0  |  提交时间:2019/12/30
The Sustainable Tracking Strategy of Moving Target by UAV in an Uncertain Environment 会议论文
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016-01-01
作者:  Zhao Changchun;  Zhu Ming;  Liang Haoquan;  Wu Zhe
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/30
In Silico target fishing: addressing a "Big Data" problem by ligand-based similarity rankings with data fusion 期刊论文
JOURNAL OF CHEMINFORMATICS, 2014, 卷号: 6
作者:  Liu, Xian;  Xu, Yuan;  Li, Shanshan;  Wang, Yulan;  Peng, Jianlong
收藏  |  浏览/下载:16/0  |  提交时间:2019/01/08
The registration of dual-modality ship target images based on edge extraction 会议论文
International Symposium on Optoelectronic Technology and Application (IPTA) - Image Processing and Pattern Recognition, Beijing, PEOPLES R CHINA, 2014-01-01
作者:  Zhang, Weimin;  Wang, Risheng;  Zhou, Fugen
收藏  |  浏览/下载:4/0  |  提交时间:2020/01/06
A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文
2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China
Huang J.; Wang Y.; Ji H.; Liu G.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
Li Y.; Zhang H.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent  it can cause the guided precision drop badly In the modern electronic warfare  therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings  but when interference is in the process of radar leading  especially the electro-optical equipment is influenced by the roll  pitch and yaw rotation  it can affect the target appear outside of the field of optoelectronic devices for a long time  so the infrared optoelectronic equipment can not exert the superiority  and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly  the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene  the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking  when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  


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