多雷达数据空间配准方法研究与软件实现

发布时间：2019-05-29 23:48

【摘要】：多源空间配准是雷达数据处理中的一个重点研究方向。尤其是复杂环境条件下,系统误差的存在对配准结果精度将造成非常大的影响。因此,系统误差的处理是提高配准结果精度的关键。本文针对该问题进行了一些相关研究工作,具体内容包括以下几个方面:(1)针对广义最小二乘算法在WGS-84 (World Geodetic System-84)坐标系中存在收敛速度慢及收敛性能不稳定的问题,对广义最小二乘算法进行了改进。改进的算法以收敛步数作为最小二乘算法中的量测精度加权因子,使得量测精度随着步数的变化而变化,从而实现了收敛步数的减少和收敛之后稳定性的改善,提高了目标跟踪定位的性能。仿真结果表明,改进的广义最小二乘算法优于广义最小二乘算法,进一步验证了该算法的有效性。(2)为了解决雷达组网中误差配准异常导致定位结果不准确这一问题,对约束总体最小二乘算法进行了改进。改进的算法通过建立步长因子与步数之间的非线性函数关系,使得算法在初始阶段具有步长较大而稳态时步长较小的特点,因此能同时获得较快的收敛速度和较小的稳态误差,从而降低了异常误差配准对定位精度的影响,使定位结果更加准确。理论推导与仿真结果表明,变步长约束总体最小二乘算法优于约束总体最小二乘算法,进一步验证了该算法的有效性。(3)介绍了利用MFC开发软件实现多雷达空间配准方法测试软件开发的过程。首先在MFC中插入控件,从而可以建立雷达空间配准所需要的一些参数,然后通过按钮控件调用C++程序;之后再进行编译和调试;最后通过TeeChart显示雷达误差配准曲线图,实现多雷达空间配准方法测试软件的开发。
[Abstract]:Multi-source spatial registration is a key research direction in radar data processing. Especially in complex environment, the existence of system error will have a great impact on the accuracy of registration results. Therefore, the processing of system error is the key to improve the accuracy of registration results. In this paper, some related research work has been carried out to solve this problem. The main contents are as follows: (1) in order to solve the problems of slow convergence rate and unstable convergence performance of the generalized least square algorithm in WGS-84 (World Geodetic System-84) coordinate system, the generalized least square algorithm is improved. The improved algorithm takes the convergent step number as the weighted factor of the measurement accuracy in the least square algorithm, which makes the measurement accuracy change with the change of the step number, thus realizing the reduction of the convergence step number and the improvement of the stability after convergence. The performance of target tracking and positioning is improved. The simulation results show that the improved generalized least square algorithm is superior to the generalized least square algorithm, which further verifies the effectiveness of the algorithm. (2) in order to solve the problem of inaccurate location results caused by abnormal error registration in radar network, The constrained total least square algorithm is improved. By establishing the nonlinear function relationship between step size factor and step number, the improved algorithm has the characteristics of large step size and small steady state error in the initial stage, so it can obtain faster convergence speed and smaller steady state error at the same time. Thus, the influence of abnormal error registration on positioning accuracy is reduced, and the positioning results are more accurate. The theoretical derivation and simulation results show that the variable step size constrained total least square algorithm is superior to the constrained total least square algorithm. The effectiveness of the algorithm is further verified. (3) the development process of multi-radar spatial registration method test software using MFC development software is introduced. Firstly, the control is inserted into MFC, so that some parameters needed for radar space registration can be established, and then C program can be called through button control, and then compiled and debugged. Finally, the radar error registration curve is displayed by TeeChart, and the test software of multi-radar spatial registration method is developed.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN95;TP311.52

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