泛探雷达长时间的相干积累会增加目标二维走动,导致目标在距离多普勒域散焦,回波信噪比降低。有效的目标二维走动校正才能更好地体现泛探雷达的凝视特性,提升雷达目标检测性能。文中利用Keystone变换进行距离维走动校正,并建立多普勒维走动和图像清晰度的数学关系式,基于最大图像清晰度准则进行多普勒维的走动校正。该方法解决了凝视探测下的二维走动,提高目标在多普勒维的高分辨,同时提升了微弱目标检测能力。

The ubiquitous radar can improve the detection probability of weak targets by long-time coherent integration called staring detection. However, long-time coherent integration can increase the two-dimensional movement of the target, i. e. range and Doppler movement, leading to defocusing of the target in the RD domain and decrease SNR. Effective two-dimensional movement correction can better reflect the staring characteristics of the ubiquitous radar and improve the radar detection performance. In this paper, firstly, using the keystone transform to correct the range movement. Secondly, establish the mathematical relationship between the Doppler movement and image definition. Based on the maximum image sharpness, correct the Doppler movement， this method solves the two-dimensional movement problem for staring detection and improves the high resolution of the target in the Doppler dimension, but also enhances the ability to detect weak targets.

TN957. 52