摘要针对强杂波背景环境下难以探测低慢小目标的问题，设计了一种目标探测与运动估计算法。所设计的算法结合二维快速傅里叶变换（2D fast Fourier transform，2D FFT）与时频分析对目标回波进行分析，再计算目标与强杂波背景环境的相关系数以探测静止目标，就可获得反映强杂波背景环境下的目标运动状态的时间-速度/距离图像。结合时频分析给出的速度信息和相关系数计算得到的当前目标距离信息，利用距离外推算法可以估计弱加速度目标在未来短时间内的距离信息。最后，通过实验验证了算法的可行性。
Abstract：This paper describes a kind of motion estimation algorithm for detecting low-altitude slow and small target (LSS-target) in heavy clutter environment. The algorithm combines 2-D fast Fourier transform (2-D FFT) and time-frequency analysis to analyze target's echo, and calculates the correlation coefficient of target and heavy clutter environment to detect motionless target. After aforementioned procedure, a time-velocity/range image of the target in heavy clutter environment is obtained. The results of time-frequency analysis and correlation coefficient calculation are used in range extrapolation to calculate low-acceleration target's range information. The feasibility of the algorithm put forward in this paper is verified in an experiment.
杜晨阳, 沈俊逸, 刘扬扬, 李晨, 陈晨. 基于时频分析与相关系数算法的目标探测与距离估计方法研究[J]. 空天防御, 2020, 3(3): 71-77.
DU Chenyang, SHEN Junyi, LIU Yangyang, LI Chen, CHEN Chen. Target Detection and Range Estimation Based on Time-frequency Analysis and Correlation Coefficient Calculation. Air & Space Defense, 2020, 3(3): 71-77.
