| 摘要: |
| 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。 |
| 关键词: 雷达探测 方位超分辨 RL算法 迭代算法 反卷积 |
| DOI： |
|
| 基金项目: |
|
| An improved Richardson-Lucy algorithm used in radar azimuth super-resolution |
| ZOU Jian-wu,ZHU Ming-bo,DONG Wei,LI Xiang-ping |
| () |
| Abstract: |
| 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 convergence 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 accelerated 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 Wiener inverse filtering algorithm and can be used in radar azimuth super-resolution. |
| Key words: radar detection azimuth super resolution RL algorithm iterative algorithm deconvolution |
《电讯技术》编辑部 