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航迹关联(TTTA)是多传感器数据融合系统的核心模块之一,是系统误差估计和航迹融合的前提和基础。传感器存在的固有系统误差使得目标位置状态估计与真值发生偏离,容易诱发TTTA错误。传统的基于全局最小距离准则的TTTA算法,需要获得较高精度的系统误差估计,来对航迹数据进行误差补偿。针对传感器具有系统误差环境下的TTTA问题,在对TTTA进行间接评估的基础上,定义了一致关联数的概念,提出了一致关联数最大化的TTTA准则,并在稳健交替迭代的框架下完成算法设计。与距离函数不同,一致关联数是一个离散量,放松了对系统误差估计精度的要求。最后,仿真实验验证了所提算法的有效性。
Trajectory association (TTTA) is one of the core modules of the multi-sensor data fusion system, which is the premise and basis of system error estimation and track fusion. The inherent system error of the sensor makes the target position state estimation deviate from the true value, and the TTTA error is easily induced. The traditional TTTA algorithm based on the global minimum distance criterion needs to obtain a higher accuracy systematic error estimate to compensate the error of the track data. Aiming at the TTTA problem that the sensor has the system error environment, based on the indirect assessment of TTTA, the concept of consistent association number is defined and the TTTA criterion maximizing the number of consistent association is proposed. The algorithm is implemented under the framework of robust alternation iteration design. Different from the distance function, the consistent correlation number is a discrete quantity, which relaxes the requirement of the system error estimation accuracy. Finally, simulation results verify the effectiveness of the proposed algorithm.