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中文摘要：
本文研究了雷达存在探测系统误差时的目标航迹关联问题,给出了组网雷达常规及大系统误差对目标航迹影响的理论分析,提出了一种基于相位相关的系统误差配准前目标航迹对准关联算法.该算法利用Radon变换和Fourier变换的有关特性,采用1维和2维相位相关来分别估计航迹间旋转和平移,基于估计量对各雷达目标航迹进行对准后,实现配准前航迹准确关联.最后,蒙特卡洛仿真结果比较验证了在各种不同的系统误差和目标环境中算法良好的航迹对准关联效果,充分说明其能够为雷达误差配准提供可靠的关联航迹数据.
英文摘要：
This paper has researched on the problem of track correlation with systematic errors in radar network,analyzed that how do the general and big systematic errors affect the detected tracks of target theoretically;On the basis,prior to registration,a target track alignment-correlation algorithm based on phasecorrelation has been presented.Based on the characteristics of Radon transform and Fourier transform,the algorithm estimates the rotation and the mass motion using 1D and 2D phase correlation respectively.Thus,the target tracks provided by different radars in common coordinates could be aligned and associated accurately without estimation and registration of radar systematic errors in advanced.Finally,the Monte-Carlo simulation result illustrates that the algorithm has excellent alignment-correlation performance in different systematic error and target environments,and shows that the algorithm can provide reliable associated tracks for the later registration.
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