对发射的线性调频信号做解调和匹配滤波处理得到原始回波信号,应用极坐标格式算法(Polar Format Algorithm,PFA)推算静止目标和运动目标处理后回波信号的数学关系式,推演动目标经过PFA处理后的理论成像结果图特征。首先对回波数据进行...对发射的线性调频信号做解调和匹配滤波处理得到原始回波信号,应用极坐标格式算法(Polar Format Algorithm,PFA)推算静止目标和运动目标处理后回波信号的数学关系式,推演动目标经过PFA处理后的理论成像结果图特征。首先对回波数据进行参考距离补偿,利用尺度变换原理,得到距离向插值处理后运动目标关于静止目标的距离徙动(Range Cell Migration,RCM)函数,推算理论上的成像结果;再通过方位向高精度的Sinc插值方法处理,完成整个PFA处理的推导。重点研究动目标和静止目标PFA处理后信号回波在方位和距离向的函数特性,以此推测出运动目标经过PFA处理后理论上的成像结果图特性,再通过MATLAB仿真来验证理论推导的正确性。展开更多
A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and ...A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and it can detect focused space targets more flexibly than the monostatic radar system or the ground-based radar system.However,the target echo signal is more difficult to process due to the high-speed motion of both space-based radars and space targets.To be specific,it will encounter the problems of Range Cell Migration(RCM)and Doppler Frequency Migration(DFM),which degrade the long-time coherent integration performance for target detection and localization inevitably.To solve this problem,a novel target detection method based on an improved Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm is proposed in this paper.First,the echo model for bistatic space-based radar is constructed and the conditions for RCM and DFM are analyzed.Then,the proposed GS-orthogonalization OMP method is applied to estimate the equivalent motion parameters of space targets.Thereafter,the RCM and DFM are corrected by the compensation function correlated with the estimated motion parameters.Finally,coherent integration can be achieved by performing the Fast Fourier Transform(FFT)operation along the slow time direction on compensated echo signal.Numerical simulations and real raw data results validate that the proposed GS-orthogonalization OMP algorithm achieves better motion parameter estimation performance and higher detection probability for space targets detection.展开更多
文摘对发射的线性调频信号做解调和匹配滤波处理得到原始回波信号,应用极坐标格式算法(Polar Format Algorithm,PFA)推算静止目标和运动目标处理后回波信号的数学关系式,推演动目标经过PFA处理后的理论成像结果图特征。首先对回波数据进行参考距离补偿,利用尺度变换原理,得到距离向插值处理后运动目标关于静止目标的距离徙动(Range Cell Migration,RCM)函数,推算理论上的成像结果;再通过方位向高精度的Sinc插值方法处理,完成整个PFA处理的推导。重点研究动目标和静止目标PFA处理后信号回波在方位和距离向的函数特性,以此推测出运动目标经过PFA处理后理论上的成像结果图特性,再通过MATLAB仿真来验证理论推导的正确性。
文摘A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and it can detect focused space targets more flexibly than the monostatic radar system or the ground-based radar system.However,the target echo signal is more difficult to process due to the high-speed motion of both space-based radars and space targets.To be specific,it will encounter the problems of Range Cell Migration(RCM)and Doppler Frequency Migration(DFM),which degrade the long-time coherent integration performance for target detection and localization inevitably.To solve this problem,a novel target detection method based on an improved Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm is proposed in this paper.First,the echo model for bistatic space-based radar is constructed and the conditions for RCM and DFM are analyzed.Then,the proposed GS-orthogonalization OMP method is applied to estimate the equivalent motion parameters of space targets.Thereafter,the RCM and DFM are corrected by the compensation function correlated with the estimated motion parameters.Finally,coherent integration can be achieved by performing the Fast Fourier Transform(FFT)operation along the slow time direction on compensated echo signal.Numerical simulations and real raw data results validate that the proposed GS-orthogonalization OMP algorithm achieves better motion parameter estimation performance and higher detection probability for space targets detection.
