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作 者:赵小茹[1] 童宁宁[1] 丁姗姗[1] 朱烨 ZHAO Xiaoru;TONG Ningning;DING Shanshan;ZHU Ye(Air and Missile Defense College, Air Force Engineering University, Xi' an 710051, China;Xi' an Branch, China Telecom Co. Ltd, Xi' an 710051, China)
机构地区:[1]空军工程大学防空反导学院,西安710051 [2]中国电信股份有限公司西安分公司,西安710051
出 处:《弹箭与制导学报》2017年第5期6-10,共5页Journal of Projectiles,Rockets,Missiles and Guidance
基 金:国家自然科学基金(6157010318)资助
摘 要:文中提出一种采用矩阵填充(matrix completion,MC)有效实现稀疏阵列MIMO雷达成像的方法。基于均匀发射、稀疏接收的收发共线稀疏阵列,分析稀疏回波信号矩阵低秩特性,对距离单元逐一采用MC原理估计未知元素,较为精确的实现回波信号的填充重构,解决了MC在处理成行/成列数据缺失时失效的问题,确保成像质量并有效减少阵元数目。仿真实验证明,文中所提成像方法能够完成稀疏阵列MIMO雷达对运动目标的单次快拍成像,且在不同稀疏度下具有普适性。A kind of efficient imaging method for MIMO radar under sparse array based on matrix completion (MC) is proposed in this let- ter. Based on the uniform transmitting antenna array and the sparse receiving antenna array, the low-rank quality of sparse receiving signal matrix is analyzed. The unknown data of each range unit is estimated with the MC principle and the receiving signal matrix can be exactly recovered. The problem is solved that the MC principle would be deactivated by column/row data loss. And the imaging quality is stabi- lized while inducing the number of antenna. The result of experiments demonstrates the proposed method, which is aimed at imaging of MI- MO radar under sparse array, is suitable for different sparse degree and achieves imaging with the signal snapshot availably.
分 类 号:TN957.51[电子电信—信号与信息处理]
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