雷达目标识别算法性能优化与评估系统

发布时间：2018-05-20 12:41

本文选题：目标识别 + Qt　；参考：《南京大学学报(自然科学)》2017年06期

【摘要】：雷达回波信息量少,目标种类多,给雷达目标识别带来了困难.对不同种类目标,要用不同的特征组合和分类方法,才能得到比较正确的目标识别结果.研究设计了一种使用Qt与MATLAB混合编程的雷达目标识别算法性能优化与评估系统.在MySQL数据库的开发支持环境下建立目标识别算法规则库,使用Qt搭建系统框架和实现前台人机交互,使用MATLAB实现后台数据的计算处理和算法的评估与优化,实现了Qt关于MySQL驱动QMYSQL的编译和Qt通过引擎调用MATLAB的关键技术.整个系统以面向对象的技术和模块化设计思想进行设计,集成了数据导入、后台数据计算处理、识别规则管理、新识别方法输入等功能,为解决不同特征类型的智能化识别问题提供了有效的研究平台,使用方便,具有广泛的应用前景.
[Abstract]:The small amount of radar echo information and the variety of targets bring difficulties to radar target recognition. In order to obtain correct target recognition results, different feature combinations and classification methods should be used for different kinds of targets. A radar target recognition algorithm performance optimization and evaluation system based on QT and MATLAB is studied and designed. The object recognition algorithm rule base is established under the development support environment of MySQL database. QT is used to build the system frame and realize the foreground man-machine interaction. The background data calculation processing and algorithm evaluation and optimization are realized by using MATLAB. QT implements the compilation of MySQL driver QMYSQL and the key technology of QT calling MATLAB through engine. The whole system is designed by object-oriented technology and modular design idea. It integrates functions such as data import, backstage data calculation and processing, recognition rule management, new recognition method input, etc. It provides an effective research platform for solving the problem of intelligent recognition of different feature types. It is easy to use and has a wide application prospect.
【作者单位】：南京大学电子科学与工程学院;
【基金】：江苏省基础研究计划(BK20151391)
【分类号】：TN957.51;TP311.52

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