摘要
机载雷达和电子对抗测量(ESM)已经成为机载平台上获取目标信息的重要传感器,它们之间的数据关联是典型的异类传感器数据关联问题,以往对于关联判别函数的选取,大多是基于方位角信息和统计方法建立判别函数,当目标密集或杂波较强的情况下,往往出现关联不稳定和关联正确率不高的情况。考虑到航迹关联判决中各因素的不确定性,提出使用基于角度和属性信息建立的模糊综合判别函数来解决机载雷达和ESM的航迹关联问题,通过建立适用于机载雷达和ESM特点的各种数学模型,解决了机载异类传感器航迹相关问题。仿真结果表明:该方法具有较低的漏关联概率和错误关联概率,能很好地解决机载雷达与ESM航迹关联问题。
The track correlation of airborne radar and ESM is typical heterogeneous sensors track correlation. The traditional correlation,which uses the azimuth as the basis of correlation, cannot satisfy the demands, especially when the targets are too dense. To solve this problem, a new correlation algorithm is proposed, which uses more information, including attribute parameters besides the azimuth. By using multi-factor fuzzy integration decision- making, several mathematic models are made to solve the correlation of airborne radar and ESM. The simulation result shows that the three threshold methods have less number of calculation and lower leak probability and false probability.
出处
《传感器与微系统》
CSCD
北大核心
2010年第7期8-10,13,共4页
Transducer and Microsystem Technologies
关键词
机载雷达
电子对抗测量
航迹关联
模糊综合决策
airborne radar
electronic counter measures （ESM）
track correlation
fuzzy integration decisionmaking
