基于阵列雷达扫描的正则化前视成像方法  

A Regularized Forward-Looking Imaging Method Based on Array Radar Scanning

作　　者：樊晨阳 贺思三 李西敏 郭乾 FAN Chenyang;HE Sisan;LI Ximin;GUO Qian(Air Force Engineering University,Xi'an710000 China;National Laboratory of Radar Signal Processing Xidian University,Xi'an710000 China)

机构地区：[1]空军工程大学,西安710000 [2]西安电子科技大学雷达信号处理国家重点实验室,西安710000

出　　处：《电光与控制》2022年第10期76-81,共6页Electronics Optics & Control

基　　金：航空科学基金(ASFC-201918096001)。

摘　　要：针对机载雷达前视超分辨成像的问题,结合实波束扫描模式下的解卷积超分辨算法和阵列雷达方位超分辨的特点,提出一种基于阵列雷达扫描的正则化前视成像方法。根据阵列雷达各阵元接收信号的特征构建了相应的复解卷积前视成像模型,在场景稀疏的条件下改进了基于正则化的L1范数平滑逼近算法,实现对雷达回波幅值和相位信息的联合利用。仿真验证了算法的有效性并分析了噪声和阵列规模对成像结果的影响,结果表明该方法能够有效实现雷达前视超分辨成像。In order to solve the problem of airborne radar forward-looking super-resolution imaging this paper proposes a regularized forward-looking imaging method based on array radar scanning in combination with deconvolution super-resolution algorithm in real beam scanning mode and array radar azimuth super-resolution.According to the characteristics of the received signals of array radar the corresponding complex deconvolution forward-looking imaging model is constructed.Under the condition of sparse scene the regularization-based L1 norm smoothing approximation algorithm is improved to realize joint utilization of the amplitude and phase information of radar echo.Through simulations the effectiveness of the algorithm is verified and the influence of noise and array size on imaging results is analyzed.The simulation results show that this method can effectively realize radar forward-looking super-resolution imaging.

关 键 词：前视成像 阵列雷达 方位超分辨 复解卷积 平滑逼近算法 

分 类 号：TN953[电子电信—信号与信息处理]