摘要
雷达关联成像是一种新的凝视高分辨率成像方法。该文针对参数化关联成像方法,建立了噪声条件下雷达关联成像模型,推导了噪声条件下关联成像理论误差限,分析了估计误差的影响因素。采用稀疏重构算法对不同参数条件下的雷达关联成像进行数值模拟,讨论了噪声条件下信号带宽、阵列构型、成像单元尺寸以及目标复杂度对成像误差的影响。研究结果为雷达关联成像系统的参数选取和信噪比要求提供了理论参考。
Radar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error are analyzed. Fourth, the sparse reconstruction algorithm is used to perform numerical simulations of radar coincidence imaging with different parameters. Finally, the effects of signal bandwidth, array configuration, size of the imaging unit, and target complexity on image error in the presence of noise are discussed. This study provides the theoretical framework for parameters selection and SNR requirements for radar coincidence imaging systems.
出处
《雷达学报（中英文）》
CSCD
2014年第5期541-547,共7页
Journal of Radars
基金
国家自然科学基金(61302149
61101182)资助课题
关键词
雷达关联成像
噪声
误差分析
Radar coincidence imaging
Noise
Error analysis
