基于高斯短时分数阶Fourier变换的海面微动目标检测方法  被引量:17

Gaussian Short-Time Fractional Fourier Transform Based Detection Algorithm of Target with Micro-Motion at Sea

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作  者:陈小龙[1] 刘宁波[2] 王国庆[2] 关键[1] 何友[2] 

机构地区:[1]海军航空工程学院电子信息工程系,山东烟台264001 [2]海军航空工程学院信息融合研究所,山东烟台264001

出  处:《电子学报》2014年第5期971-977,共7页Acta Electronica Sinica

基  金:国家自然科学基金(No.61201445;No.61179017;No.61002045);"泰山学者"建设工程专项经费

摘  要:海上目标随海面颠簸导致姿态变化,引起回波功率调制效应,导致回波多普勒体现时变和非平稳特性.为此,本文将微多普勒理论应用于海杂波中弱目标检测,提出一种基于高斯短时分数阶Fourier变换(GSTFRFT)的海面微动目标检测方法.首先,建立海面目标的平动和三维转动回波模型;然后,基于海尖峰判别方法对回波信号进行数据筛选,改善信杂比,并采用GSTFRFT对微动信号进行增强处理,利用海面目标与海杂波的微动特征差异设计恒虚警检测方法;最后,通过GSTFRFT域滤波,提取信号的微动特征并得到瞬时频率.实测雷达数据仿真结果验证了算法的有效性,具有在强海杂波中检测微弱目标的能力.The attitude of target at sea may vary with the fluctuation of sea surface, which induces the effect of power modulation of radar echo, and also the Doppler reflects time-varying and nonstationary properties. In this paper, micro-Doppler theory is applied to weak target detection within sea clutter, and an algorithm of detecting micro-motion target at sea is proposed via Gaussian short-time fractional Fourier transform (GSTFRPT). Firstly, signal model of target on the sea surface is established including transla- tion and 3-D rotation movements. Then, radar returns are selected based on sea spikes identification for better signal-to-clutter ratio. Moreover, micro-motion signal is enhanced via GSTFRPT, and signature differences between target and sea clutter are utilized for designing constant false alarm ratio detector. Finally, micro-motion signature and instantaneous frequency can be extracted and obtained by filtering in GS33:RFF domain. Simulation results with real datasets validate the effectiveness of the algorithm, which is qualified for detecting weak target in strong sea clutter environment.

关 键 词:微动目标 海尖峰 高斯短时分数阶Fourier变换 目标检测 特征提取 

分 类 号:TN957.51[电子电信—信号与信息处理]

 

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