Aiming at distributed sensors with nonlinear biases, this paper proposes an anti-bias track-to-track association algorithm named variable structure bidimensional reference pattern (VSBRP). Firstly, we theoretically analyze the limitations of the original reference-pattern (REP) in dealing with sensor nonlinear bias. Subsequently, to eliminate the adverse effects of sensor bias on track-to-track association, we reformulate the reference-pattern feature by organizing the position and velocity information, with the aim of estimating the relative bias using multiple dimensions of information. Additionally, we propose to regulate the structure of REP in real-time according to missed and false tracks, thereby improving the robustness of the target tracking system. Numerical simulations are performed to demonstrate the effectiveness and superiority of the proposed method.

中文翻译：

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基于变结构二维参考模式的抗偏轨轨关联

针对具有非线性偏差的分布式传感器，提出一种抗偏差轨迹间关联算法——变结构二维参考模式（VSBRP）。首先，我们从理论上分析了原始参考模式（REP）在处理传感器非线性偏差方面的局限性。随后，为了消除传感器偏差对轨迹与轨迹关联的不利影响，我们通过组织位置和速度信息重新制定参考模式特征，目的是使用多维信息估计相对偏差。此外，我们建议根据丢失和错误跟踪实时调节REP的结构，从而提高目标跟踪系统的鲁棒性。进行数值模拟以证明该方法的有效性和优越性。