CAJ | 학술논문

双站SAR 能够获取目标不同方向的雷达散射系数，有助于图像分类和识别。双站聚束 SAR 分辨率高，目标识别能力更强。针对机载双站聚束SAR长合成孔径时间特点，该文引入改进双曲等效方法，修正了双曲等效距离模型的三次项精度；推导了2维波数域信号表达式，给出波数域图像重建方法；建立了距离-方位波数域的距离空变补偿项，提高了ωK算法的距离空变处理能力。计算机仿真结果验证了机载双站聚束SAR改进ωK算法的精确性和有效性。
쌍참SAR 능구획취목표불동방향적뢰체산사계수，유조우도상분류화식별。쌍참취속 SAR 분변솔고，목표식별능력경강。침대궤재쌍참취속SAR장합성공경시간특점，해문인입개진쌍곡등효방법，수정료쌍곡등효거리모형적삼차항정도；추도료2유파수역신호표체식，급출파수역도상중건방법；건립료거리-방위파수역적거리공변보상항，제고료ωK산법적거리공변처리능력。계산궤방진결과험증료궤재쌍참취속SAR개진ωK산법적정학성화유효성。
The Bistatic SAR (BiSAR) acquires the radar cross section of target area from different directions, which is helpful for SAR image classification and target recognition. The spotlight mode has higher resolution and thus has advantages in target recognition. This paper introduces an advanced hyperbolic approximation method to fit accurately the cubic term of range history. Besides, the wavenumber domain signal is derived and the image formation process is given. Then, the residual phase term induced by range variance property is shown, and the compensation step is accommodated in the modified ωK algorithm, which enhance the imaging performance at the edges of scene. The simulation results verify the accuracy and validity of the proposed method.