| 摘要: |
| 针对线性调频连续波(LFMCW)雷达运动补偿问题，提出了一种改进型Radon-Fourier变换(RFT)的参数类成像方法。首先用RFT算法在大搜索范围内进行了运动速度的粗估计；然后再在粗速度估计误差范围内基于Tsallis熵对速度进行了精估计；最后根据估计结果对LFMCW雷达目标完成了成像。由于改进的RFT算法的两次估计均使用到了相参积累，因此该算法可在低信噪比条件下对速度进行估计；此外该算法先在大范围内粗搜索，再在小范围内精搜索，这样的方式有效降低了算法运算量，使传统方法得到了改进。最后通过仿真实验验证了所提算法的有效性。 |
| 关键词: 线性调频连续波(LFMCW) 改进Radon Fourier变换（RFT） Tsallis熵 运动补偿 |
| DOI：10.3969/j.issn.1672-2337.2018.05.009 |
| 分类号:TN958 |
| 基金项目:国家自然科学基金(No.61671469) |
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| Target Motion Compensation of Wideband LFMCW Radar Based on Improved RFT Algorithm |
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CHEN Liangdong， XIA Saiqiang， LIN Shuang， YANG Jun
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1.Air Force Early Warning Academy， Wuhan 430019， China;2.Unit 31433 of PLA， Shenyang 110000， China
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| Abstract: |
| To improve the motion compensation of linear frequency modulated continuous wave (LFMCW) radar，an improved Radon-Fourier transform (RFT) method for parameter imaging is proposed.Firstly，the RFT algorithm is used to estimate the coarse velocity in a large search range.Then，the precise velocity is estimated based on Tsallis entropy in the range of error estimation.Finally，the LFMCW radar target imaging is completed according to the estimation results.The two steps of estimation of the improved RFT algorithm both use coherent integration，so it can estimate target velocity under low SNR conditions.In addition，searching the coarse velocity in a wide range and then the precise velocity in a small range，in this way，the algorithm can effectively reduce the computational complexity，which improves the traditional method.Simulation results prove the effectiveness of the proposed algorithm. |
| Key words: linear frequency modulated continuous wave (LFMCW) improved Radon-Fourier transform(RFT) algorithm Tsallis entropy motion compensation |
