一种新的FMCW雷达周期非线性估计与校正方法  

New FMCW Radar Nonlinear Estimation and Correction Method

作　　者：郎韶华 杨静 黄洁[1] 靳科[1] LANG Shaohua;YANG Jing;HUANG Jie;JIN Ke(Information Engineering University, Zhengzhou 450001, China;The Joint Logistics Center of Zhengzhou, Zhengzhou 450001, China)

机构地区：[1]信息工程大学,河南郑州450001 [2]郑州联勤保障中心,河南郑州450001

出　　处：《信息工程大学学报》2018年第4期463-467,474,共6页Journal of Information Engineering University

基　　金：国家自然科学基金青年科学基金资助项目(61703433)

摘　　要：调频连续波(frequency-modulated continuous wave radar, FMCW)雷达在后勤保障中发挥重要的应用价值,然而系统的调频非线性严重制约雷达的测距性能。在传统多项式非线性校正的基础上,着重分析周期非线性的影响与校正方法,提出一套完整的估计与校正流程。首先建立多分量周期相位模型,分析非线性对测距的影响;然后将非线性项看作乘性干扰,在乘积同态系统下,构建联合稀疏恢复模型实现参数的精确估计;最后通过匹配傅里叶变换校正空变非线性,实现多目标聚焦。仿真结果证明,该方法可以有效抑制周期非线性造成的成对回波,有利于弱目标检测,且参数估计性能优于现有算法。Frequency-modulated continuous-wave radar (FMCW) has played an important role in logistics support. However, the nonlinearity in frequency modulation has seriously restricted the performance of radar ranging. In this paper, on the basis of traditional polynomial nonlinearity correction, the influence and correction method of periodic nonlinearity are analyzed, and a complete estimation and calibration process is proposed. In our method, the multi-component periodic phase model is established, and the influence of nonlinearity on the ranging is analyzed. Then the nonlinear term is regarded as multiplicative interference. In the product homomorphism system, the joint sparse model is utilized to realize accurate estimation of the parameters. Finally, the nonlinearity is corrected by match Fourier transform to focus multi-objects. Simulation results show that the proposed method can effectively suppress the paired echo caused by periodic nonlinearity, which is beneficial to weak target detection, and the parameter estimation performance is superior to the existing algorithm.

关 键 词：调频连续波 雷达测距 非线性校正 周期调制 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]