The emergence of highly manoeuvrable weak targets has led to serious degradation or even failure of traditional radar detection. In this paper, a coherent accumulation algorithm based on a combination of a scaling algorithm (SA) and a discrete polynomial-phase transform (DPT) is proposed, and the calculation burden and detection performance were evaluated. The algorithm first performs fewer speed parameter compensations based on an SA for the transmitted signal and selects the effective delay range of the target signal. Second, for the extracted echo signal, the DPT algorithm is used to estimate the target speed and acceleration. The proposed algorithm analyses the influence of the time delay range, the compensation speed and the delay unit on the detection performance and provides the improvement degree of the output SNR and the amount of complex multiplication. Finally, the experimental data verify the effectiveness of the proposed algorithm in terms of accumulation gain and parameter estimation. This method is for suboptimal estimation and requires much less computation than joint search methods, but it performs better than cross-correlation methods.

高机动性弱目标的出现导致传统雷达探测能力严重退化甚至失效。本文提出了一种基于缩放算法（SA）和离散多项式相位变换（DPT）相结合的相干累加算法，并评估了计算量和检测性能。该算法首先基于SA对发射信号进行较少的速度参数补偿，并选择目标信号的有效延迟范围。其次，对于提取的回波信号，采用DPT算法估计目标速度和加速度。所提出的算法分析了时间延迟范围的影响，补偿速度和延迟单元对检测性能的影响，并提供输出信噪比和复数乘法量的改善程​​度。最后，实验数据验证了所提算法在累积增益和参数估计方面的有效性。该方法用于次优估计，并且比联合搜索方法需要更少的计算量，但它比互相关方法执行得更好。