基于快速Radon-Fourier变换的雷达高速目标检测
doi: 10.3724/SP.J.1146.2011.01180
High Speed Radar Target Detection Based on Fast Radon-Fourier Transform
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摘要: Radon-Fourier变换(RFT)是一种根据目标的运动参数对位于距离-慢时间平面中的目标轨迹进行积分来积累雷达目标能量的方法。该文针对RFT算法的运算量大和未插值时由量化误差引起能量积累损失这两个问题,提出一种基于Chirp-Z变换(CZT)的快速RFT算法,该算法在频域实现,并将其实现过程和CZT算法结合在一起,成功的解决了以上问题。另外,在不增加运算量的前提下,该方法还能通过补偿目标的多普勒频率来消除匹配滤波损失。实验结果表明在理想情况下该方法的目标能量积累性能接近理论最优值。
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关键词:
- 目标检测 /
- 相参积累 /
- 距离走动 /
- Chirp-Z变换(CZT) /
- 多普勒敏感
Abstract: Radon-Fourier Transform (RFT) is a kind of method which integrates radar target energy by integrating the target track in range-slow time domain according to the target motion parameters. Considering the two issues of high computation cost of RFT and the energy lose caused by quantization error without interpolation, a fast RFT method based on Chirp-Z Transform (CZT) is proposed, which implements in frequency domain, and combines its implement process and CZT algorithm together to solve the above issues successfully. In addition, the method can also eliminate the loss of match filtering by compensating the Doppler frequency of target without increasing the computation cost. The experiment results show that the integration performance of this method can almost achieve the optimal one under ideal condition.-
Key words:
- Target detection /
- Coherent integration /
- Range migration /
- Chirp-Z Transform (CZT) /
- Doppler sensitive
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