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在目标跟踪滤波算法的基础上 ,提出利用模糊理论进行数据融合的算法 .应用模糊理论 ,对双传感器的滤波数据进行特征提取 ,并在一定的隶属函数和模糊规则下对其进行模糊推理 ,得到随目标机动情况自动调节加速度方差的系数调节值 ,使之保持对目标机动的快速响应 .分析中采用蒙特卡洛仿真方法 ,对融合前后的滤波结果进行比较 .模糊数据融合利用领域专家总结的相关知识 ,将融合结果反馈给单传感器 ,以提高各单传感器的跟踪精度 .
Based on the target tracking and filtering algorithm, an algorithm of data fusion based on fuzzy theory is put forward.Fuzzy theory is used to extract the features of the filtered data of two sensors and fuzzy inference is obtained under certain membership functions and fuzzy rules With the target maneuver automatically adjusts the variance of the acceleration adjustment coefficient to keep the target maneuvering fast response.The analysis using Monte Carlo simulation method to compare the results before and after the fusion.Fuzzy data fusion using the field experts concluded that Knowledge, the fusion results will be fed back to a single sensor to improve the tracking accuracy of the single sensor.