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.