距离-速度同步干扰环境下的目标检测

摘要

针对距离-速度同步干扰，首先基于多普勒滤波器组和恒虚警率（CFAR）检测技术得到目标检测决策，并结合目标检测决策建立雷达回波的速度-时间数据矩阵。随后分析了目标和干扰的特征差异，基于超快霍夫变换（VFHT）提取雷达回波的目标特征霍夫空间。最后根据该霍夫空间采用CFAR检测技术对目标检测，从而形成基于距离-速度同步干扰抑制的目标检测方法。与常规快速霍夫变换（FHT）相比，提出的VFHT具有更高的计算效率。同时，该方法由于在雷达数据处理层面进行目标检测，不需要改变雷达系统的信号处理结构，大大降低了雷达装备成本。理论仿真表明在同样的目标检测性能前提下，基于VHFT的目标检测算法所需的信噪比要求放宽了10 dB以上，为弱目标回波信号环境中的应用奠定了基础。%According to range-velocity synchronous jamming,firstly,target detection decision is acquired based on the Doppler filter bank and detection technology of constant false alarm rate(CFAR). Secondly,Combined with the target detection decision from radar echo,velocity-time data matrix is obtained . Then the feature of the targets in the velocity-time data matrix is discussed . Based on the very fast Hough transform(VFHT),Hough space of target feature of radar echo is obtained . Finally,target detection based on range-velocity synchronous jamming suppression is formed by using the detection technology of the CFAR and Hough space of target feature .Compared with fast Hough transform(FHT),the VFHT in this paper has a higher computational efficiency . Be-sides,because it detects target in radar data processing level,it can reserve radar signal processing component, which greatly reduces the cost of radar . Theoretical simulations show that the target detection algorithm based onthe VFHT has a lower SNR of more than 10 dB under the same performance of target detection,which lays a good foundation in weak target echo environment .