| 摘要: |
| 针对转换瑞利滤波器(SRF)由于测角误差先验信息不准确而导致跟踪性能退化的问题，提出了一种基于交互式多模型转换瑞利滤波器（IMM-SRF）的目标跟踪方法。该方法采用多个不同测角噪声水平的SRF模型进行滤波，并且通过对滤波结果的自适应加权融合解决测角误差未知的问题。与SRF方法相比，该方法无需测角误差的先验信息，鲁棒性和实用性更好。仿真结果表明，IMM-SRF方法可实现对匀速运动和曲线运动目标的准确跟踪，并且收敛速度也较快，验证了所提方法的有效性。 |
| 关键词: 无源测向跟踪 交互多模型 转换瑞利滤波器 测角噪声 |
| DOI： |
|
| 基金项目: |
|
| Interacting multiple model tracking with adaptive processing for angle measurement noise |
| YANG Qing-shan,WANG Jie,PENG Hai |
| () |
| Abstract: |
| Tracking performance degradation is usually caused owing to inexact prior information of angle measurement error for the shifted Rayleigh filter(SRF) method.To solve the problem,an interacting multiple model shifted Rayleigh filter(IMM-SRF) method is proposed for object tracking.It exploits multiple SRF models with different levels of angle measurement noise to filter,and then,performs adaptively weighting fusion for the filtering results to solve the problem of unknown angle measurement error.Compared with the SRF method,the IMM-SRF method has better robustness and practicality due to the fact that it does not require prior information of angle measurement error.Simulation results show that the IMM-SRF method can track the uniform motion and curve motion objects with fast convergence speed,which verifies the effectiveness of the proposed method. |
| Key words: bearing-only passive track interacting multiple model shifted rayleigh filter angle measurement noise |
《电讯技术》编辑部 