基于数据优先级的雷达目标跟踪偏差补偿方法

传统雷达目标跟踪偏差补偿方法雷达跟踪目标偏差补偿的精准程度较低，导致研究成果可靠性及稳定性较差。为了解决上述问题，基于数据优先级提出一种雷达目标跟踪偏差补偿方法，利用雷达极化测量目标信号，并建立三维空间坐标，引导操作数据，通过对相位控制偏差的校准操作实现对数据目标的精准测量，提升系统检验的准确性，根据数据优先级原则，对极化脉冲进行角度测量，选取适宜测量方案，设置雷达目标方向图，进行雷达目标超分辨成像，加强实验研究力度，综合考虑优化信息与操作条件，实现对雷达目标跟踪偏差补偿方法的研究。实验结果表明，基于数据优先级的雷达目标跟踪偏差补偿方法具备较高的雷达跟踪目标偏差补偿的精准程度，研究可靠性较高，稳定性有了显著提升。

Deviation compensation method of radar target tracking based on data priority

The traditional radar target tracking bias compensation method has low accuracy in radar tracking target bias compensation, which results in poor reliability and stability of research results. In order to solve the above problems, a radar target tracking bias compensation method is proposed based on the data priority. Radar polarization is used to measure the target signal, and three-dimensional spatial coordinates are established to guide the operation of the data. The calibration of the phase control deviation is used to achieve the data target. Accurate measurement to improve the accuracy of system inspection. According to the principle of data priority, perform angle measurement on polarized pulses, select appropriate measurement schemes, set radar target pattern, perform radar target super-resolution imaging, strengthen experimental research efforts, and comprehensively consider optimization. Information and operating conditions, to realize the research of radar target tracking deviation compensation method. The experimental results show that the radar target tracking bias compensation method based on data priority has higher accuracy of radar tracking target bias compensation, higher research reliability, and significantly improved stability.