改进的合成孔径雷达旁瓣抑制空间变迹算法  

Improved SVA method for SAR sidelobe suppression

作　　者：杨科[1] 廖桂生[1] 徐青[1] 王伟伟[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《电波科学学报》2012年第6期1158-1165,共8页Chinese Journal of Radio Science

基　　金：国家973计划项目(2011CB707001);国家自然科学基金资助项目(61101242);长江学者和创新团队发展计划(IRT0954)

摘　　要：针对现有的改进空间变迹(SVA)算法存在运算量大、不能有效抑制合成孔径雷达(SAR)图像旁瓣或者损失主瓣能量等问题,提出一种新的改进SVA算法。分析了非整数倍带宽采样对理想频域窗函数所对应的脉冲响应函数的影响,根据旁瓣抑制要求,构建一个新的脉冲响应函数,同时得到其所对应的频域窗函数,并给出相应的约束条件,通过比较最大和最小加权的SAR数据来实现旁瓣抑制。该算法在保持主瓣能量的前提下能够快速有效地抑制旁瓣,仿真实验和实测数据处理验证了该算法的有效性。The existing improved spatially variant apodization（SVA） algorithms cost large computation, cannot depress the sidelobes of synthetic aperture radar （SAR） image effectively, or reduce the energy of the mainlobes. To overcome these problems, an improved SVA algorithm is presented in this paper. Firstly, the impact of the non-integer Nyquist sampling rates on the impulse response function corresponding to the ideal frequency domain window function is analyzed. Subse- quently, to meet the demand of the sidelohe suppression, a new impulse response function is built to get a corresponding frequency-domain window function, troduce some constraints. Finally, the maximum weights and the minimum of SAR data are compared to achieve sidelobe suppression. This algorithm and in weights can deenergy. The simulation and experimental results confirm the validity of the algorithm.

关 键 词：合成孔径雷达 旁瓣抑制 脉冲响应函数 空间变迹 

分 类 号：TN957.52[电子电信—信号与信息处理]