MPC算法在机载传感器规划中的应用  

Application of MPC algorithm in airborne sensor planning

作　　者：张欢[1] 吴军[1] 何贵波[1] 吴志峰[2] 

机构地区：[1]空军工程大学航空航天工程学院 [2]中国人民解放军93256部队

出　　处：《传感器与微系统》2014年第6期147-150,共4页Transducer and Microsystem Technologies

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。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.

关 键 词：传感器规划 模型预测控制 搜索目标 卡尔曼滤波 

分 类 号：TN391[电子电信—物理电子学]