Long-term coherent integration can remarkably improve the ability of detection and motion parameter estimation of radar for maneuvering targets. However, the linear range migration, quadratic range migration (QRM), and Doppler frequency migration within the coherent processing interval seriously degrade the detection and estimation performance. Therefore, an efficient and noise-resistant coherent integration method based on location rotation transform (LRT) and non-uniform fast Fourier transform (NuFFT) is proposed. QRM is corrected by the second-order keystone transform. Using the relationship between the rotation angle and Doppler frequency, a novel phase compensation function is constructed. Motion parameters can be rapidly estimated by LRT and NuFFT. Compared with several representative algorithms, the proposed method achieves a nearly ideal detection performance with low computational cost. Finally, experiments based on measured radar data are conducted to verify the proposed algorithm.

长期相干集成可以显着提高雷达对机动目标的检测和运动参数估计能力。但是，相干处理间隔内的线性范围迁移，二次范围迁移（QRM）和多普勒频率迁移严重降低了检测和估计性能。因此，提出了一种基于位置旋转变换（LRT）和非均匀快速傅立叶变换（NuFFT）的高效抗噪声相干积分方法。QRM通过二阶梯形失真校正进行校正。利用旋转角与多普勒频率之间的关系，构造了一种新颖的相位补偿函数。可以通过LRT和NuFFT快速估计运动参数。与几种代表性算法相比，所提出的方法以较低的计算成本实现了近乎理想的检测性能。最后，基于实测雷达数据进行了实验，验证了该算法的有效性。