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 on the 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.
出处
《电讯技术》
北大核心
2013年第9期1191-1196,共6页
Telecommunication Engineering
