一种参数化轨迹增强的TBD算法  

Efficient track-before-detect algorithm based on the parameterized track enhancement

作　　者：何嘉懿[1] 廖桂生[1] 杨志伟[1] 孙存光 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2015年第6期17-22,共6页Journal of Xidian University

基　　金：国家重点基础研究发展计划资助项目(2011CB707001);中央高校基本科研业务费资助项目(K5051302007);长江学者和创新团队发展计划资助项目(IRT0954)

摘　　要：针对高机动目标在低信噪比情况下难以稳定跟踪的问题,利用检测前跟踪思想,提出一种综合利用目标状态与轨迹增强算子来实现闭环反馈的高机动目标跟踪新方法.首先,针对多帧原始数据进行非参数化的航迹起始批处理操作,得到目标点迹集合;然后,依据实时更新的目标状态参数和量测误差设计相应的参数化轨迹增强算子;最后,结合当前量测并使用参数化轨迹增强操作进行预测跟踪.该方法在轨迹增强操作时充分利用了多帧的量测和状态,具有闭环反馈特性,实现了检测跟踪一体化处理,能够提高低信噪比条件下的检测跟踪准确度和精度.仿真实验表明,所提方法与经典检测前跟踪方法相比,在实时性上更优,且在性能上近似;相比高斯和滤波方法在稳定跟踪性能和跟踪精度上都有较大改善.To address the problem of detection and tracking in the environment of a low SNR, we propose a new multi-frame track-before-detect algorithm. First of all, the nonparametric tracking initial is made based on the unthresholded multi-frame data. The target＇s plots can be obtained. Then the track enhancement operator is designed making use of the parameter of the target＇s state and the measurement imprecision error. Finally, using the designed operator to do the parameterized track enhancement, the results of tracking can be obtained. The algorithm possesses the characteristics of close loop feedback between the state of the target＇s trajectory and the track enhancement operator, which can improve the accuracy of detection and tracking and realize joint detection and tracking in a low SNR environment. Simulation results show that compared with the traditional track-before-detect the proposed method can obtain similar performance. The method can track stably in the case where the signal-to-noise ratio is 6 dB.

关 键 词：目标跟踪 检测前跟踪 多帧检测 航迹起始 边缘检测 

分 类 号：TN95[电子电信—信号与信息处理]