摘要
针对海杂波背景下小目标检测困难的问题,为解决传统分数阶傅里叶变换(FRFT)算法检测性能不稳定、运算量大、检测效率低等问题,提出新的海杂波中小目标检测快速新算法。利用CEMD-RobustICA去噪算法抑制海杂波,减小海杂波对双正交傅里叶变换(BFT)与简明分数阶傅里叶变换(CFRFT)性能的影响,通过BFT-CFRFT算法进行小目标检测,将传统算法的二维搜索转换为两次一维搜索,大幅减小了运算量。利用IPIX实测数据验证新算法,实验结果表明:新算法有效抑制了海杂波,且大大减小了检测运算量,提高了目标检测准确性与时效性,并且在HH极化条件下检测性能最好。新算法检测效率高,性能稳定,有利于在实际工程中广泛应用。
In the background of sea clutterit is difficult to detect small targets on sea surfaceand the traditional Fractional Fourier Transform(FRFT)algorithm has unstable detection performancelarge computation amount and low detection efficiency.To solve the problemsa new fast algorithm for detecting small targets in sea clutter is proposed.CEMD-RobustICA denoising algorithm is used to suppress sea clutterso as to weaken its influence on the performance of Bi-orthogonal Fourier Transform(BFT)and Concise Fractional Fourier Transform(CFRFT).BFT-CFRFT algorithm is used to detect small targetswhich transforms the two-dimensional search of the traditional algorithm into two one-dimensional searchesso that the amount of computation is greatly reduced.IPIX measurement data is used to verify the new algorithmand the experimental results show that:1)The new algorithm can effectively suppress sea cluttergreatly reduce the amount of computationand improve the accuracy and timeliness of target detection with the best performance in HH polarization conditions;2)The new algorithm has high detection efficiency and stable performancewhich can be widely used in practical projects.
作者
唐建军
梁浩
朱张勤
金林
TANG Jianjun;LIANG Hao;ZHU Zhangqin;JIN Lin(Nanjing Institute of Electronic Technology Nanjing 210000,China)
出处
《电光与控制》
CSCD
北大核心
2021年第6期42-46,共5页
Electronics Optics & Control
