首页 | 本学科首页   官方微博 | 高级检索  
     

MPC算法在机载传感器规划中的应用
引用本文:张欢,吴军,何贵波,吴志峰. MPC算法在机载传感器规划中的应用[J]. 传感器与微系统, 2014, 0(6): 147-150
作者姓名:张欢  吴军  何贵波  吴志峰
作者单位:空军工程大学航空航天工程学院;中国人民解放军93256部队
摘    要:针对传感器规划过程中传感器对移动目标的实时跟踪探测问题,将模型预测控制(MPC)的基本思想与卡尔曼滤波理论相结合,提出了一种改进MPC算法的传感器规划方法。仿真实验结果表明:该算法在解决传感器对移动目标实时跟踪探测方面具有良好的效果,能够快速、准确地搜索到移动目标。

关 键 词:传感器规划  模型预测控制  搜索目标  卡尔曼滤波

Application of MPC algorithm in airborne sensor planning
ZHANG Huan;WU Jun;HE Gui-bo;WU Zhi-feng. Application of MPC algorithm in airborne sensor planning[J]. Transducer and Microsystem Technology, 2014, 0(6): 147-150
Authors:ZHANG Huan  WU Jun  HE Gui-bo  WU Zhi-feng
Affiliation:ZHANG Huan;WU Jun;HE Gui-bo;WU Zhi-feng;College of Aeronautics and Astronautics Engineering,Air Force Engineering University;No. 93256 Unit of PLA;
Abstract:Aiming at moving target real-time tracking and detection problem of sensor in sensor planning process, combining basic idea of model predictive controi(MPC) with Kalman filtering theory,an improved MPC algorithm of sensor planning method is put forward. Simulation result shows that the algorithm has good effect on solving moving target real-time tracking and detection by sensor and can search moving target quickly and accurately.
Keywords:sensor planning  model predictive control(MPC)  search target  Kalman filtering
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号