基于Hough变换的雷达密集转发干扰抑制算法

雷达密集转发干扰与目标回波相关性极高,对雷达产生欺骗和压制作用,使目标检测面临巨大困难。针对这一问题,提出了一种新的基于Hough变换的雷达密集转发干扰抑制算法。首先通过Hough变换将雷达回波脉冲压缩后的数据映射到参数空间,采取二值投票方式进行非相干积累并提取峰值抑制干扰。随后,根据Hough变换中点与线的对偶性,通过逆Hough变换和最小二乘法恢复出目标运动轨迹。进一步地,对恢复出的目标信号进行动目标检测,估计目标参数,实现了干扰环境下的雷达目标检测。仿真实验和实测数据处理验证了所提算法的有效性和实用性。

Dense repeated jamming suppression algorithm based on Hough transform

Dense repeated jamming can deceive and suppress radar receiver easily because of the high correlativity between the target echo, which makes it difficult for radar to detect targets accurately. Aiming at the problem of jamming suppression and target detection, a novel anti-jamming algorithm based on Hough transform is proposed in this paper. Firstly, radar received signal that after pulse compression is mapped into parameter space by Hough transform. Meanwhile, incoherent accumulation is achieved by binary voting and the peak is extracted to suppress jamming. Subsequently, according to the duality property among points and lines of Hough transform, the target trajectory is recovered through inversing Hough transform and least square method. Furthermore, the recovered signal is processed by moving target detection for estimating parameters of the target, which can realize target detection in interference environment successfully. Both simulation and measured data processing verify the effectiveness and practicability of the proposal.