基于WVHT 的合成孔径雷达运动目标检测与成像

目的针对合成孔径雷达（ＳＡＲ）的运动目标检测和成像提出了一种通用、完整的ＷｉｇｎｅｒＶｉｌｅＨｏｕｇｈ变换（ＷＶＨＴ）．方法基于线积分，将ＷＶＤ和Ｈｏｕｇｈ变换结合起来，推导出ＷＶＨ变换，并利用计算机仿真的ＳＡＲ回波数据对该新ＷＶＨ变换作了验证．结果与结论计算机仿真结果证明了该变换的正确性和有效性．和传统的ＷＶＤＨＴ方法相比，这种基于ＷＶＨＴ的ＳＡＲ运动目标检测和成像的新方法，可以将多目标回波的ｃｈｉｒｐ信号从时间域直接转换到参数域，同时完成了ＷＶＤＨＴ方法中的交叉项抑制和运动参数的估计，进而对多目标成像，简化了处理过程．这种新ＷＶＨ变换还可以应用于其它场合的ｃｈｉｒｐ信号检测中．

SAR Moving Target Detection and Imaging Based on WVH Transform

Aim To propose a generalized and closed representation of the Wigner Ville Hough transform(WVHT), for the moving target detection and imaging in the design of synthetic aperture radar(SAR). Methods Based on the line integral, the WVH transform was derived by combining the Wigner Ville distribution (WVD) and the Hough transform (HT) together. The new transform was then verified with computer by the simulated SAR echoes. Results and Conclusion The correctness and the validity of the WVH transform were proved by the computer simulation. Compared with the conventional WVD HT method, the new approach based on the WVHT can simplify the processing procedure, it can translate the chirp echoes of multi targets of SAR from the time domain into the parameter space directly, while suppressing the cross terms of WVD and estimating the motion coefficients for the final imaging. It is obvious that the WVH transform can be also used in other cases for the chirp signal detection.