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中文摘要：
径向速度模糊是影响多普勒天气雷达资料质量的一个重要因素.针对模糊的问题,提出了一种抗噪声的速度退模糊新算法：基于速度场的空间连续性,采用无损的连续噪声抑制方案,由噪声分离、曲线拟合退模糊和噪声恢复3个步骤组成.用CINRAD-SA雷达4站3a的全部模糊数据（〉40000个体扫文件）进行验证,结果表明：（1）抗噪声的速度退模糊新算法明显优于WSR-88D退模糊算法,正确率比其高30%;（2）以体扫文件为单位的退模糊正确率为89.4%,其中,台风、强对流和弱对流的退模糊正确率达92.9%.
英文摘要：
Velocity aliasing is an important factor affecting the data quality of Doppler weather radar.A new anti-noise dcaliasing algorithm（AND） was proposed to solve the ambiguity.Based on the spatial continuity, the AND utilizes a lossless continuous noise suppression scheme.It consists of three steps： noise separation,fitting-curve dcaliasing, and noise restoration.Validation by 4 CINRAD-SA stations ×3 years of full ambiguous volume files （〉40000） shows that：（1）AND was better than the WSR-88D dcaliasing algorithm.It had a correct rate 30% higher than that by the WSR-88D dcaliasing algorithm;（2） the correct rate of full ambiguous volume files were 89.4%,with the correct rate for typhoon,strong convection and weak convcction reached 92.9%.
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