方位超分辨是国内外雷达界持续探索的一项技术难题。为解决高斯噪声情况下天线低通效应造成的方位低分辨力问题，利用基于泊松噪声情况下Richardson-Lucy( RL)算法对其进行研究。针对RL算法中高斯噪声被放大出现虚假目标和RL算法收敛速度慢的缺点，提出了一种改进RL算法。该算法首先使用低通滤波去除高频段的噪声，然后利用加速RL算法进行方位超分辨。仿真结果表明：与原RL算法相比，改进RL算法能降低高斯噪声的影响，消除虚假目标；在信噪比低至0 dB时，相对于半功率波束宽度，改进RL算法的最大分辩倍数为1.8倍，与维纳逆滤波算法相比具有较强的噪声适应能力，可以应用于雷达方位超分辨。%Azimuth super-resolution remains a technical problem needed to be explored in radar domain both at home and abroad. In order to solve the low resolution problem caused by antenna’s low-pass effect under the condition of Gaussian noise, Richardson-Lucy ( RL) algorithm is used in research based on the Poisson noise. For the drawback of false target because of amplified effect of Gaussian noise and slow con-vergence rate, an improved RL algorithm is proposed. Firstly, the improved algorithm uses the low-pass filter to remove the noise in high frequency band, then its azimuth super resolution is solved by the acceler-ated RL algorithm. Simulation results show that, compared with the original RL algorithm, the improved RL algorithm can reduce the Gaussian noise, eliminate false targets, with regards to the half-power beam-width, its maximum resolution ratio can be reach 1. 8 times when the signal-to-noise ratio(SNR) is low to 0 dB, which shows the improved RL algorithm has strong noise adaptation capability compared with Wie-ner inverse filtering algorithm and can be used in radar azimuth super-resolution.
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