【摘要】 当多部雷达同时跟踪低空飞行的小目标时 ,由于各部雷达受到自身探测精度、低空杂波和电子干扰等因素的影响 ,易使部分雷达探测数据不精确 ,造成融合中心数据处理精度的下降。针对这一情况 ,本文提出一种基于一次融合数据为特征的灰色优势分析准则 ,把每时送入融合中心比较差的雷达数据用一次融合后的数据替换 ,再进行二次融合。仿真结果表明 ,应用灰色优势分析实现二次数据融合 ,可进一步提高雷达系统的跟踪精度和可靠性。更多还原

【Abstract】 When multi radar track low altitude flying little targets simultaneously, as the influence of probe precision of radars themselves, low altitude clutter and electronic jamming factors, it usually makes some radars probe data imprecisely. This will make the precision of the fusion center data processing descend. Aiming at this fact, this paper presents a grey superior analysis norm by use of the character of the first fusion data to replace the precision lower radars data with the first fusion data per time, and then makes them fusion again. The simulation results indicate that the reliability and the tracking precision of the system can be improved further by using grey superior analysis to realize the second data fusion.更多还原