电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2015年
4期
969-974
,共6页
李银伟%陈立福%韦立登%彭青%向茂生
李銀偉%陳立福%韋立登%彭青%嚮茂生
리은위%진립복%위립등%팽청%향무생
机载合成孔径雷达(SAR)%多普勒域多通道自聚焦%相位误差估计%奇异值分解(SVD)
機載閤成孔徑雷達(SAR)%多普勒域多通道自聚焦%相位誤差估計%奇異值分解(SVD)
궤재합성공경뢰체(SAR)%다보륵역다통도자취초%상위오차고계%기이치분해(SVD)
Airborne SAR%Doppler-domain MultiChannel Autofocus (MCA)%Phase error estimation%Singular Value Decomposition (SVD)
在多通道自聚焦(MCA)和傅里叶域多通道自聚焦(FMCA)的基础上,该文提出一种基于多普勒域多通道的机载合成孔径雷达自聚焦算法。该算法同样是直接在线性代数的理论框架下推导得到,能够在不迭代的情况下进行相位误差的估计和补偿以实现SAR图像的聚焦。该算法不像MCA和FMCA那样在图像域估计相位误差,而是在距离压缩方位多普勒域(方位未压缩)里进行相位误差估计。同时该算法不需要SAR成像场景中含有低散射区的假设,从而使其能够应用于条带模式SAR。不同情况下条带SAR数据的处理结果验证了该算法的有效性和可行性。
在多通道自聚焦(MCA)和傅裏葉域多通道自聚焦(FMCA)的基礎上,該文提齣一種基于多普勒域多通道的機載閤成孔徑雷達自聚焦算法。該算法同樣是直接在線性代數的理論框架下推導得到,能夠在不迭代的情況下進行相位誤差的估計和補償以實現SAR圖像的聚焦。該算法不像MCA和FMCA那樣在圖像域估計相位誤差,而是在距離壓縮方位多普勒域(方位未壓縮)裏進行相位誤差估計。同時該算法不需要SAR成像場景中含有低散射區的假設,從而使其能夠應用于條帶模式SAR。不同情況下條帶SAR數據的處理結果驗證瞭該算法的有效性和可行性。
재다통도자취초(MCA)화부리협역다통도자취초(FMCA)적기출상,해문제출일충기우다보륵역다통도적궤재합성공경뢰체자취초산법。해산법동양시직접재선성대수적이론광가하추도득도,능구재불질대적정황하진행상위오차적고계화보상이실현SAR도상적취초。해산법불상MCA화FMCA나양재도상역고계상위오차,이시재거리압축방위다보륵역(방위미압축)리진행상위오차고계。동시해산법불수요SAR성상장경중함유저산사구적가설,종이사기능구응용우조대모식SAR。불동정황하조대SAR수거적처리결과험증료해산법적유효성화가행성。
On the basis of the MultiChannel Autofocus (MCA) algorithm and the Fourier-domain MultiChannel Autofocus (FMCA) algorithm, an autofocus algorithm for airborne SAR based on Doppler-domain multichannel is proposed. The proposed autofocus algorithm is also directly derived under a linear algebraic framework, allowing the phase error to be estimated and removed in a noniterative fashion to achieve the well-focused SAR image. However, unlike MCA or FMCA applied to the image domain, the proposed autofocus algorithm is used to estimate the phase error in the range compressed azimuth Doppler domain (azimuth uncompressed). In addition, it does not require the assumption of a low-return region contained to the SAR image, which makes it applicable to the strip-map mode SAR. The processing results of strip-map SAR data in different cases demonstrate the validity and feasibility of the proposed autofocus algorithm.