CAJ | 학술논문

目标运动参数估计精度是衡量雷达探测系统性能的重要指标。该文为解决目标运动参数的估计问题，建立了运动目标回波模型，在利用分数阶傅里叶变换(FRFT)估计加速度的过程中采用数据融合提高估计精度，在估计出加速度的基础上通过Keystone变换和速度模糊通道解决距离走动(RCM)和多普勒模糊问题。仿真实验表明算法在估计精度和计算量上具有优势，并且对白噪声具有较好的鲁棒性。
목표운동삼수고계정도시형량뢰체탐측계통성능적중요지표。해문위해결목표운동삼수적고계문제，건립료운동목표회파모형，재이용분수계부리협변환(FRFT)고계가속도적과정중채용수거융합제고고계정도，재고계출가속도적기출상통과Keystone변환화속도모호통도해결거리주동(RCM)화다보륵모호문제。방진실험표명산법재고계정도화계산량상구유우세，병차대백조성구유교호적로봉성。
An important standard to measure the effectiveness of radar acquisition systems is the accuracy of target parameter estimation. To solve the estimation problem, the echo model of moving targets is established and the FRactional Fourier Transform (FRFT) is subsequently used to estimate the acceleration; further, data fusion is used to raise estimation accuracy. Finally, Range Cell Migration (RCM) and Doppler ambiguity are solved by using the Keystone transform and the ambiguity channels based on the estimated acceleration. The simulation results show high accuracy, complexity, and noise robustness.