基于成像提取的RCS精确测量方法研究

高精度雷达散射截面(RCS)测量对背景环境具有较高要求,当背景环境存在较强干扰时,通过背景矢量对消难以消除杂波影响。提出基于成像提取的高精度RCS测量方法,从背景杂波中分离和提取出目标的散射信号,从而提高了测量的精度。首先推导了像与RCS的数学关系,然后利用转台模式下的测量回波进行成像处理,得到目标区域的二维像;从成像区域中提取目标的二维像,通过波谱变换和定标获得目标的RCS。仿真结果表明,该方法对于具有干扰情况下的RCS测量,可以改善3~5 d B的测试精度,并且能够对弱散射目标进行测量。实验结果表明了成像提取方法的有效性和准确性。

Research on accurate radar cross section measurement method based on imaging extraction

High precision radar cross section (RCS) measurement has high requirement for background environment. It is difficult to eliminate the clutter effect through background vector cancelling when strong interference exists in background environment. This paper proposes a high accuracy RCS measurement method based on imaging extraction to separate and extract the target scattering signal from background clutter, thereby the measurement accuracy is improved. Firstly, the mathematical relationship between the image and RCS is derived, then the echo measured in the revolving stage mode is utilized to conduct the imaging processing and obtain the 2 D image of the target area. Then, the 2 D image of the target is extracted from the imaging area, and the RCS of the target is obtained through spectrum transform and calibration. The simulation results show that in RCS measurement under interference the proposed method can improve the measurement accuracy by 3~5 dB, and measure the target with weak scattering. Experiment results show the effectiveness and accuracy of the imaging extraction method.