摘要
以减少SAR成像所需数据量,缩短成像时间为目的,本文构建了深度欠采样回波信号的模型,提出了一种二维脉冲压缩算法,该算法利用OMP和BCS算法对欠采样回波做距离向和方位向压缩,实现了二维SAR快速成像。通过对点目标模型SAR回波的仿真验证了方案的有效性。
Abst For the purpose of reducing the amount of data required by synthetic aperture radar （SAR） imaging and shortening imaging time, a 2-D pulse compression algorithm is proposed based on constructing of deep under-sampled echo signal model. In this algorithm, orthogonal matching pursuit （OMP） and Bayesian compressive sensing （BCS） algorithms are applied for range profile and azimuth profiles compression, so as to obtain 2-D fast SAR imaging. The effectiveness of the scheme is verified via simulation by using SAR echoes of point target model.
出处
《火控雷达技术》
2011年第4期19-24,共6页
Fire Control Radar Technology
基金
国家自然基金资助课题(60971081)
