摘要
Abstract
In recent years,radar forward-looking imaging technology has received more and more attention due to its wide application value.Super-resolution convolution inversion technology is an important technical mean to achieve forward-looking imaging.However,scanning radar based on phased array will produce space variation of antenna pattern during large-scale scanning,resulting in super-resolution performance degradation.To address this problem,a forward-looking sparse super-resolution imaging method is proposed for phased array scanning radar.Firstly,the reasons for the space variation of the antenna pattern are analyzed,and a modified antenna convolution matrix is derived to achieve an accurate representation of the scanning process.Secondly,the corresponding objective function is constructed under the premise of target sparsity assumption.Finally,alternating direction method of multipliers(ADMM)solver based on reweighting strategy is used to solve the objective function,achieving sparse reconstruction of the target.The experimental data results show that the proposed method can achieve a resolution increase of about 4 times,and can effectively improve the observation and perception capabilities of the forward-looking area.关键词
阵列扫描雷达/超分辨技术/大范围扫描/方向图空变/稀疏重建Key words
array scanning radar/super-resolution technique/large-scale scanning/space variation of antenna pattern/sparse reconstruction分类
信息技术与安全科学
