Error Transfer and Correction between Multi-target Measurements in a Common Clutter Environment
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摘要: 在目标跟踪领域, 如何提高目标航迹估计精度是一个重要问题. 传统做法是基于目标量测数据进行滤波或者融合以减小随机误差. 本文提出了基于误差相关性提高估计精度的新思路. 在强相关条件下, 依据误差基本理论, 研究了多目标之间量测数据误差传递和校正的概念、原理和方法, 建立并给出了各关键步骤的算法. 仿真实验表明, 多目标量测数据误差之间具有相关性时, 可以进行误差的传递和校正. 如果相关性较强, 则校正后量测数据精度能够得到较大幅度的提高.Abstract: How to improve the precision of estimation is an important problem in target tracking. Conventional method intends to reduce the random errors by filtering or fusing using measurements from target itself. A new idea based on error transfer and correction is presented here. According to the theory of error correlation, the conception, principle and technique of the method of error transfer and correction between multi-target measurements have been investigated. All algorithms of the key steps about this method have been built. Simulation results show that the measurement error can be transferred and corrected if there is error correlation between multi-target measurements, and the precision of corrected measurement can be improved greatly when the correlation is high.
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Key words:
- Error transfer /
- error correction /
- measurement /
- correlation /
- common clutter environment /
- track estimation /
- multi-target tracking
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