外辐射源雷达多传感器多目标定位与跟踪

发布时间：2018-03-29 03:18

本文选题：外辐射源雷达　切入点：多目标多传感器　出处：《西安电子科技大学》2014年硕士论文

【摘要】：外辐射源雷达能够突破有源雷达在隐身技术和低空突防等方面的局限性,因此外辐射源雷达系统得到了广泛的发展。该雷达系统经历了从单传感器系统到多传感器系统的发展,在多目标的情况下,通过多雷达系统数据融合技术能够增强目标跟踪的适应性。本文对多目标情况下的目标跟踪问题进行了研究,探讨了多传感器外辐射源雷达体制下多目标定位与跟踪的关键技术。本文针对三发一收体制的外辐射源雷达系统设计了一套数据处理方案,该方案分为数据预处理、点迹融合和航迹处理。数据预处理主要是对量测值进行距离—多普勒维上的航迹处理,从而消除虚警点并平滑量测值,以减少后续数据处理计算量。点迹融合模块的功能是将各个站接收到的多个目标在球坐标上的量测值转化为在XY平面上对应的点迹,并对这些点迹进行分类从而与不同的目标相对应。该模块有穷举配对、TOA解算定位、聚类和融合等步骤,穷举配对是将多个接收站接收的多个量测值进行两两穷举配对,然后采用TOA定位方法将各个站的距离和与多普勒量测值信息进行转换坐标,解算得到XY平面上的点迹,最后通过粗聚类和融合算法可以合理地将同一类的目标点集进行归类,并将一个点迹类进行融合而得到一个综合点迹,方便后续的航迹处理。在TOA定位方法中,对影响定位精度的因素进行了仿真和分析,并得出了一定的结论,同时对基于SX算法的TOA定位方法和TOA+DOA混合定位方法进行了分析和比较。航迹处理主要对聚类融合后的目标点迹来进行处理,该处理主要包括航迹起始、点迹—航迹关联、航迹预测更新和航迹消亡,在跟踪滤波上本文选用卡尔曼滤波算法。最后利用本文设计的数据处理方案对多传感器多目标情况进行了仿真分析,同时还利用实测数据进行了跟踪处理性能验证。
[Abstract]:The external emitter radar can break through the limitation of active radar in stealth technology and low altitude penetration, so the external emitter radar system has been widely developed. The radar system has experienced the development from single sensor system to multi-sensor system. In the case of multi-target, multi-radar system data fusion technology can enhance the adaptability of target tracking. This paper discusses the key techniques of multi-target location and tracking under the multi-sensor external emitter radar system. This paper designs a data processing scheme for the external emitter radar system with three transmitters and one receiving system, which is divided into data preprocessing. Point track fusion and track processing. Data preprocessing mainly deals with the measured values on the range-Doppler dimension, thus eliminating false alarm points and smoothing the measured values. The function of the point trace fusion module is to convert the measurements of multiple targets received by each station in the spherical coordinates into the corresponding points on the XY plane. These points are classified to correspond to different targets. This module has the steps of exhaustive pairing TOA calculation, clustering and fusion. The exhaustive pairing is the pairing of multiple measurements received by multiple receiving stations. Then the distance of each station and the information of Doppler measurements are transformed into coordinates by using TOA localization method, and the points on the XY plane are solved. Finally, the target points of the same class can be reasonably classified by rough clustering and fusion algorithm. A synthetic point trace is obtained by fusion of a spot trace class, which is convenient for the subsequent track processing. In the TOA positioning method, the factors affecting the positioning accuracy are simulated and analyzed, and a certain conclusion is drawn. At the same time, the TOA location method based on SX algorithm and the TOA DOA hybrid localization method are analyzed and compared. The track processing mainly deals with the target track after clustering fusion, which mainly includes track initiation, point-track and track association. In this paper, Kalman filter algorithm is used in tracking filtering. Finally, the multi-sensor and multi-target case is simulated and analyzed by using the data processing scheme designed in this paper. At the same time, the tracking processing performance is verified by the measured data.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.52

【参考文献】