摘要
该文针对飞艇平台,设计了基于组合巴克码的共形稀疏阵列,并对稀疏阵列的探测性能进行了分析。利用飞艇悬停的特点,可对前后不同时刻脉冲的实孔径成像结果进行干涉处理,去除散射单元的随机初相位,使图像在变换域稀疏。引入压缩感知方法,建立回波与变换域系数的关系,完成对地成像,可获得接近满阵阵列成效的图像质量。仿真数据处理结果验证了该方法的有效性。
A conformal sparse array based on combined Barker code is designed for airship platform.The performance of the designed array such as signal-to-noise ratio is analyzed.Using the hovering characteristics of the airship,interferometry operation can be applied on the real aperture imaging results of two pulses,which can eliminate the random backscatter phase and make the image sparse in the transform domain.Building the relationship between echo and transform coefficients,the Compressed Sensing（CS）theory can be introduced to solve the formula and achieving imaging.The image quality of the proposed method can reach the image formed by the full array imaging.The simulation results show the effectiveness of the proposed method.
出处
《雷达学报（中英文）》
CSCD
2016年第1期109-117,共9页
Journal of Radars
基金
国家自然科学基金(61271422
61201433)~~
关键词
压缩感知(CS)
变换域稀疏
共形稀疏阵列
实孔径成像
Compressed Sensing（CS）
Sparsity in the transform domain
Conformal sparse array
Real aperture imaging
