传统小角度雷达成像算法为获得高质量目标像,需要在角度域及频域具有高采样率.针对此问题,提出了一种基于角度域谱分析、频域聚焦的高信噪比小角度雷达成像算法,严格推导了最大不模糊距离以及分辨率计算公式.较传统小角度成像算法,有效地降低了角度域及频域采样率,并且显著地提高了图像信噪比.最后,在Ka波段下通过仿真对该算法进行了验证.仿真结果表明,转台成像方法能够得到高质量高分辨率的目标二维像,并具有有效降低角度域及频域采样率和提高图像信噪比的能力.
In order to acquire high quality images of targets,the traditional small-angle radar imaging algorithms need high sampling rate in both of the angle-domain and the frequency-domain.To solve the problem,this paper presented a high Signal to Noise Ratio (SNR) small-angle radar imaging algorithm from the fundamental formula of 2 -Dimensional radar imaging,which is based on the spectral analysis in angle-domain and focused in frequency-domain.Meanwhile,the formulas of the Maximum Unambiguous Range(MUR) and the resolution were deduced strictly.In contrast to the traditional small-angle imaging algorithms,the proposed algorithm can decrease the sampling rate in both of the angle-domain and the frequency-domain effectively,and increase the SNR of the image obviously.At last,the proposed algorithm was testified by the simulated results in Ka-band.The results show that the proposed method can be used to acquire high quality and high resolution of 2-Dimensional images of targets,and has the ability of decreasing the sampling rate in both of the angle-domain and the frequency-domain,increasing the SNR of the image effectively.