【作者】 刘芳；

【导师】 刘中； 徐振来；

【作者基本信息】 南京理工大学 ， 电子与通信工程， 2008， 硕士

【摘要】 本文以数据融合理论为基础,进行情报雷达的数据融合系统的设计与实现。系统主要包括数据配准、数据关联、目标状态估计几个方面。在系统的数据配准中,首先进行坐标变换,然后采用主站雷达测量坐标系下的误差线性化方法进行系统误差估计。通过仿真表明,利用误差修正可以抑制随机噪声,较为准确地估计各雷达站的系统误差。在系统的数据关联部分,本文将动态分区与整体相关思想相结合进行航迹相关,减小了关联数据量,并大大降低了误相关率,提高了系统的实际应用能力。同时采用灰色关联的思想,有效地利用雷达提供的数据而尽量避免对融合系统的影响,很好地解决两坐标雷达观测数据的融合问题。在跟踪维持部分,文中利用“模糊相似”很好地进行航迹起始,并采用序贯滤波和灰色理论解决融合中出现的异步和异质数据的问题,使主副站航迹更好地进行融合。除了原理的叙述外,在C++ Builder环境下,采用本文方法进行了多情报雷达的航迹综合仿真。本文提供了很好的数据融合实现的思路和流程,并可以在实际系统中很好地应用。更多还原

【Abstract】 This paper is based on data fusion theory. The design of radar data fusion system about air surveillance radar’s was realized. This system includes several aspects such as error registration, data association and target state estimation.At first, the coordinate is changed and then the method about linear programming in radar measure ordination is used to estimate system error. The simulation results show that error correction can restrain random noise and estimate the systematic error of the radars well and truly.Secondly, a new algorithm about data association used "unitary association" combining with "dynamic subarea" in this paper is suggested which reduce the computable quantity and the error rate of data association. The system practical implementation capability is enhanced by the algorithm. We use the method to make process efficient and practical. Simultaneity, the grey system theory is applied into the fusion system to utilize efficiently air surveillance radar’s data and to avoid the influence of bad data.Thirdly, in target tracking "blur similitude" and "unitary association" are taken to start track .The method of sequential filter in real time is used to make the tracks of all air surveillance radar’s fuse favoring. When some special circs come, some superior analyses are used to solve the correlation of the dissimilar radars.All the methods mentioned in this paper are used to acquire a realizable data flow of software .And the course of target integration is simulated in C++ Builder.更多还原