期刊文献+

超小型水下机器人智能定位系统 被引量:1

Intelligent localization-system for subminiature underwater-vehicle
下载PDF
导出
摘要 提出一种新的超小型水下机器人智能定位系统.融合短基线定位声纳、电子罗盘、X/Y倾角传感器和深度传感器组成超小型水下机器人定位的硬件系统,使用基于构件的方法开发了针对超小型水下机器人定位系统的水上控制计算机三维虚拟显示软件.使用马尔可夫自定位算法在实测定位声纳信号的间隙推算水下机器人的位置,提高定位速度,使其与姿态传感器同步.设计了定位算法有效性的测试实验,结果证明算法有效. A new intelligent localization system is developed for the subminiature-underwater-vehicle(SUV). In this system, we combine the short-base-line(SBL) localization sonar, the electronic compass, the X/Y angle-sensor and the depth sensor to make up the hardware architecture for the SUV localization system; and develop the component-based 3D virtual display software system for the land-based positioning computer. In the time-interval between SBL signal- measurements, the Markovian-self-localization algorithm is employed to calculate the position of the SUV. This accelerates the localization process, and makes it in synchronization with the operation of the posture sensor. Experimental tests are designed and performed for this localization algorithm; results show the effectiveness in application.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2010年第9期1140-1144,共5页 Control Theory & Applications
关键词 水下机器人 马尔可夫自定位 软件体系结构 构件 underwater vehicle Markov localization software architecture component
  • 相关文献

参考文献5

二级参考文献32

  • 1董聪,郦正能,夏人伟,何庆芝.多层前向网络研究进展及若干问题[J].力学进展,1995,25(2):186-196. 被引量:47
  • 2郭威,刘开周,王晓辉.一类载人潜水器的导航技术研究[J].机器人,2005,27(5):406-409. 被引量:2
  • 3李胜全,滕惠忠,凌勇,刘雁春,严晓明.侧扫声纳图像实时增强技术[J].应用声学,2006,25(5):284-289. 被引量:9
  • 4Simon Haykin.自适应滤波器原理[M].郑宝玉,译.北京:电子工业出版社,2006. 被引量:5
  • 5DOUGLAS B L,PIETSCH R L. Compression of obstacle avoidance sonar data for low bit rate image transfer [C]//Oceans Conference Record IEEE. Fort Lauderdale, FL, USA. IEEE. Sep 23-26 1996:937- 942. 被引量:1
  • 6LI Xueyao, ZHU Fuping. Application of the Zero- Crossing Rate, LOFAR Spectrum and Wavelet to the Feature Extraction of Passive Sonar Signal[C] // Proceedings of the 3th World Congress on Intelligent Control and Automation. Hefei, China. IEEE. Jun 28-Jul 2 2000 : 2461-2463. 被引量:1
  • 7TANG Xiaoou, STEWART W. K. Texture Classification Using Wavelet Packet and Fourier Transforms [C] // OCEANS 95. MTS/IEEE. Challenges of Our changing Global Environment[C]. San Diego. IEEE. 9-12 October 1995: 387-396. 被引量:1
  • 8TAKAAKI M, Tatsuo Kikuchi. numerical calculation for determining sonar self noise sources Due to structural vibration [J]. Applied Acoustic, 1999 (58) : 19-32. 被引量:1
  • 9THOMAS A, WETTERGREN C, MICHAEL T. optimization of conventional beamformer shading weights for conformal velocity sonar [J]. IEEE Journal of Oceanic Engineering, 2005(30) : 213-220. 被引量:1
  • 10YAO K C, MIGNOTTE M,COLLET C,et al. Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery [J]. Pattern Recognition, 2000 (33) : 1575-1584. 被引量:1

共引文献60

同被引文献9

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部