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中文摘要：
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.
英文摘要：
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.
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