摘要
为进一步提高数据链和ESM的融合精度,对数据链航迹和ESM点迹融合中传感器因素对融合精度的影响进行了研究。研究了数据链航迹和ESM点迹关联融合跟踪流程;针对ESM间断点迹的特点给出了不同状态下的处理方法;对所采用的滤波算法、时间配准算法、数据关联算法及航迹点迹融合算法分别进行了介绍。分别对数据链精度不同和ESM精度不同情况下的融合精度进行了仿真。对仿真结果进行对比分析,发现ESM信息对融合后的距离精度改善不大,但对角度精度和位置精度有一定影响:若ESM测角精度高于数据链的测角精度,则融合后的位置精度和测角精度有所提高,反之,融合后的精度反而可能会有所下降。
To improve the positioning precision in data link and ESM fusion, influence of the sensor error is studied. The fusion flow of data link tracks and ESM measurements is introduced. Due to the discontinuity of ESM measurement, the methods of position updating in different states are given. And then the algorithm of filter, time registration, data association and fusion of track and measurement are intro duced. The fusion precisions in different data link error and different ESM error are simulated separately. The simulation results are analyzed and the following conclusions are gotten： the ESM measurements has little influence to range precision, if the ESM precision are better than the data link, the position precision after fusion will be improved, the reverse is true.
出处
《计算机与数字工程》
2013年第6期908-910,977,共4页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:61102165
61102167
61179018)资助
