深圳大学学报理工版

采用最小二乘法估计速度和加速度,通过引入机动检测,动态调整有限记忆的点数,在速度估计上,既保证直飞段的平稳,又减小转弯段的滞后,从而实现空中目标航迹自适应跟踪.对位置采用一步滤波估计,在位置滤波上,提出一种由状态信息进行滚转角预测的方法,并将滚转角引入到卡尔曼滤波参数的自适应修正上.仿真结果表明,采用该方法既能使直飞段很好地维持航迹平稳,又能在转弯段实现目标的快速跟踪.

A new adaptive tracking method for aerial targets is proposed. Velocity and acceleration are estimated by the limited memory of the least square method while position is estimated by a one-step filter. In the estimation course of velocity and acceleration,the dynamic number of limited memory dots is adjusted according to the result of maneuver detection in order to ensure the smooth tracking for straight flight and less lag for swerve. A roll angle prediction method is proposed in the position filter. The roll angle is used to adjust the parameters in the Kalman filter adaptively. Simulation results show that the target can be tracked smoothly in straight flight and rapidly in swerve flight.

引言
1 自适应跟踪策略
2 动态有限记忆的速度与加速度估计
3 机动检测
4 滤波参数设计
5 仿真结果
6 结语

图1 雷达目标自适应跟踪框架<br/>Fig.1 Adaptive tracking framework of target

图1 雷达目标自适应跟踪框架
Fig.1 Adaptive tracking framework of target

图2 飞机转弯受力分析<br/>Fig.2 Stress analysis when aircraft turning

图2 飞机转弯受力分析
Fig.2 Stress analysis when aircraft turning

图3 引入滚转角反馈的加速度方差计算示意图<br/>Fig.3 Variance calculation after introduced roll angle acceleration feedbackQ

图3 引入滚转角反馈的加速度方差计算示意图
Fig.3 Variance calculation after introduced roll angle acceleration feedbackQ

图4 直飞段雷达航迹与滤波航迹<br/>Fig.4 (Color online)Radar measured track and filtered track in straight flight

图4 直飞段雷达航迹与滤波航迹
Fig.4 (Color online)Radar measured track and filtered track in straight flight

图5 转弯段雷达航迹与滤波航迹<br/>Fig.5 (Color online)Radar measured track and filtered track in turning flight

图5 转弯段雷达航迹与滤波航迹
Fig.5 (Color online)Radar measured track and filtered track in turning flight

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备注

引言

1 自适应跟踪策略

2 动态有限记忆的速度与加速度估计

3 机动检测

4 滤波参数设计

5 仿真结果

6 结语

期刊信息

备注

引言