空间分辨率增强的高频提升改进算法及性能分析

Improved High-Frequency-Raised Algorithm for Spatial Resolution Enhancement and the Performance Analysis

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。

The deconvolution method can enhance the spatial resolution of real aperture radar,with the problem of sensitivity to noise.Due to this problem,High-Frequency-Raised(HFR) algorithm is analyzed and an improved HFR is proposed in this paper.The new algorithm only changes the amplitude of high frequency components of the system spatial response,with phase information reserved,which can improve the resolution performance in further,with high frequency noise suppressed.In order to evaluate the performance,an angular scatter is used as a point target in the experiment.From the results,-3dB beam width is narrower by the improved algorithm,which shows a better spatial resolution,and the position of the target is more accurate.Also,the results validate that the performance of spatial resolution enhancement is better with increasing the signal-noise-ratio(SNR) of echo signals.