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解卷积运算能够增强实孔径雷达的空间分辨率,但存在对噪声敏感的问题。针对这一问题,分析了高频提升法的原理,并提出了改进算法。新算法只改变系统空间响应的高频分量幅度,保留其相位信息,使得该算法在抑制高频噪声的同时,进一步提高了算法的分辨率性能。为了评估算法性能,采用角反射器作为点目标进行了验证实验。实验结果表明:在相同信噪比下,改进算法处理点目标回波得到的-3dB波束宽度更窄,能获得更好的空间分辨率,且目标位置更准确;同时也验证了该算法对空间分辨率的增强性能会随回波信噪比增大而进一步提高。
Deconvolution can enhance the spatial resolution of real aperture radar, but it is sensitive to noise. In response to this problem, the principle of high frequency lifting method is analyzed and an improved algorithm is proposed. The new algorithm only changes the amplitude of the high-frequency component of the system space response and preserves its phase information, which makes the algorithm further improve the resolution performance of the algorithm while suppressing high-frequency noise. To evaluate the performance of the algorithm, a corner reflector was used as a point target to verify the experiment. The experimental results show that the proposed algorithm can get a better spatial resolution and a more accurate target position with the same signal-to-noise ratio when the point-target echo is processed with a narrower-3dB beamwidth. At the same time, Enhanced performance of the resolution will increase with the echo signal to noise ratio to further improve.