摘要
毫米波步进频正交频分复用(SC-OFDM)雷达通过合成大带宽信号,能够在较低采样速率下获得高距离分辨率。然而,现有改进快速傅里叶变换(FFT)方法在估计目标距离和速度时存在最大无模糊速度减小的问题。为此,本文提出一种两步速度解模糊方法:第一步是基于无模糊速度假设进行全单元多普勒补偿,利用补偿失配导致的距离像峰值旁瓣比(PSLR)降低特征识别速度模糊的目标;第二步是通过设定合适的模糊数取值进行模糊单元多普勒补偿,以距离像PSLR最大化准则确定目标的真实模糊数,同时完成多普勒频移补偿。仿真结果表明,相比现有方法,所提方法能够解决多目标场景下的速度模糊问题,并有效抑制多普勒频移引起的距离像旁瓣。
Millimeter wave stepped-carrier orthogonal frequency-division multiplexing(SC-OFDM)radar can achieve high range resolution at low sampling rates by synthesizing wideband signals.However,the existing modified fast Fourier transform(FFT)method for estimating target range and velocity suffers from a reduced maximum unambiguous velocity.To address this limitation,this paper proposes a two-step velocity ambiguity resolution method.The proposed method first performs all-cell Doppler compensation under the unambiguous velocity assumption.It then identifies velocity-ambiguous targets by detecting the reduction of peak sidelobe ratio(PSLR)in range profiles caused by compensation mismatch.Subsequently,appropriate ambiguity number candidates are selected for ambiguous-cell Doppler compensation.The true ambiguity number is determined by maximizing the PSLR of range profiles,while simultaneously completing Doppler shift compensation.Simulation results demonstrate that,compared with existing methods,the proposed approach can effectively resolve velocity ambiguity in multi-target scenarios and suppress range sidelobes induced by Doppler shift.
作者
田旋旋
胡念平
TIAN Xuanxuan;HU Nianping(School of Low Altitude Equipment and Intelligent Control,Guangzhou Maritime University,Guangzhou 510725,China;Department of Command,Special Operation College of PLA,Guilin 541000,China)
出处
《传感器与微系统》
北大核心
2025年第9期41-45,共5页
Transducer and Microsystem Technologies
基金
广东自然科学基金面上项目(2023A1515011272)
广州科技计划资助项目(SL2024A04J01935)
广州高校科研项目(2024312025)。
