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中文摘要：
由于量测数据预处理以及通信延迟等因素的影响，集中式融合跟踪系统面临着无序量测的问题。针对低信噪比和无序量测情况下的微弱目标检测与跟踪，提出了一种基于无序量测和粒子滤波的检测前跟踪方法，然后将该方法的性能与顺序量测滤波方法以及丢弃无序量测方法的性能进行分析对比。仿真结果表明，该算法可以有效处理无序量测问题，实现对微弱目标的有效检测和跟踪，其目标跟踪精度接近顺序量测滤波的跟踪精度。
英文摘要：
entralized fusion tracking system out-of-sequence measurement （OOSM） due to the factors as different pre-processing time and communication delay of measurements, of weak target detection and tracking with low signal-to-noise ratio （SNR） and OOSM, a track- before-detect （TBD） method proposed based on OOSM and particle filter （PF）. Furthermore, the performance of the proposed method compared with that of traditional discarding method and in-sequence measurement filtering method. The simulation results demonstrate that the proposed method can solve the problem of OOSM and detect and track weak target efficiently with the performance of target tracking is close to that of the in-sequence measurement filtering.
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