低数据率测量中高机动目标的跟踪

2020 IEEE MTT-S International Wireless Symposium (IWS) Pub Date : 2020-09-20 DOI:10.1109/IWS49314.2020.9360037

Danyan Zhang, Xiaoyan Ma, Shuang-Long Quan, Hongya Wang, Dalong Xu

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引用次数: 0

摘要

在低数据率测量条件下，传统的单模型跟踪算法容易对高机动目标进行误跟踪或丢失目标。本文提出了一种基于交互多模型(IMM)算法与概率数据关联(PDA)算法相结合的跟踪方法。调整了多个测量滤波阈值，提高了航迹关联的精度。实验表明，该方法取得了良好的跟踪效果。

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Tracking of High Maneuvering Targets in Low Data Rate Measurement

Under the condition of low data-rate measurement, it tends to mistrack or lose the target of high maneuvering targets by using the traditional single model tracking algorithm. This paper proposes a tracking method using Interacting Multiple Model (IMM) algorithm combined with Probabilistic Data Association (PDA) algorithm to solve the problem. Several measurement filtering thresholds are tuned to improve the accuracy of track association. Experiments show that this method achieves good tracking results.

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2020 IEEE MTT-S International Wireless Symposium (IWS)

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