原版非线性啁啾可伸缩(NCS ) 算法为高精确处理高度倾向的曲线的轨道被扩大合成的孔雷达(CTSAR ) 。基于观点范围模型的分析和回响信号的频率光谱特征,一篇小说非线性啁啾与速度和加速参数放大函数和更多建筑群阶段赔偿因素为对曲线的轨道的适应在新算法被建议。处理流动和修改 NCS 算法的计算复杂性是根本上与原来的 NCS 算法一样。然而,没有插值,更高的顺序阶段赔偿,范围房间迁居修正(RCMC ) 和第二等的范围压缩(SRC ) 由非线性的孔和联合的严重范围方位角引起了的范围变体精确地并且高效地被完成。模拟结果显示出与一个曲线的孔和一个squint 角度获得直到大约 50 的那个数据?????????????剋?????焲????????????????????吗????????潮?慇獵楳湡?????????慇獵楳湡??
The original nonlinear chirp scaling(NCS) algorithm was extended for high precision processing of the highly squinted curvilinear trajectory synthetic aperture radar(CTSAR).Based on the analysis of slant range model and the frequency spectrum characteristics of the echo signal,a novel nonlinear chirp scaling function and more complex phase compensation factors with both velocity and acceleration parameters were proposed in the new algorithm for accommodation to curvilinear trajectory.The processing flow and computational complexity of modified NCS algorithm were fundamentally the same as the original NCS algorithm.However,the higher order phase compensation,range cell migration correction(RCMC) and range-variant secondary range compression(SRC) caused by the non-linear aperture and the severe range-azimuth coupling were accomplished accurately and efficiently without interpolation.Simulation results show that data acquired with a curvilinear aperture and a squint angle up to about 50° for X-band can be processed with no evident degradation of impulse response function.