单被动传感器BOT鲁棒跟踪算法研究  

On robust state estimation algorithm for bearing-only tracking

作　　者：王永成[1] 王宏飞[2] 杨成梧[1] 

机构地区：[1]南京理工大学动力工程学院 [2]南京电子技术研究所,江苏南京210013

出　　处：《控制与决策》2005年第2期199-202,206,共5页Control and Decision

基　　金：河南省自然科学基金项目(0211050500);国防科技重点实验室基金试点项目(51431040103DZ2401).

摘　　要：对系统建立了仅有角度测量信息的单传感器跟踪(BOT)模型和算法,从机动目标鲁棒跟踪的角度给出了单传感器仅有角测量信息时的状态估计方法.BOT的状态估计采用修正增益扩展卡尔曼滤波器(MGEKF),目标加速度采用周期递推估计.该算法的模型简单、无噪声假定、无模型切换,并对目标机动具有良好的自适应能力.仿真结果验证了该方法的有效性.The bearing only tracking model and its algorithm are studied. A robust state estimation algorithm is (presented) for the tracking of maneuvering target. The modified gain extended Kalman filter is employed in the state estimation and the target acceleration vector is periodically calculated in a recursive manner. The characteristics of the proposed algorithm is adaptive for (maneuvering) target. The model is simple and has no noise assumption or (model) switching. Simulation results show the effectiveness of the methoel.

关 键 词：被动传感器 机动目标跟踪 鲁棒跟踪 

分 类 号：TN953[电子电信—信号与信息处理]