近距离超宽带调频连续波雷达非线性校正研究

发布时间：2018-01-28 18:46

本文关键词： 调频连续波非线性校正多项式回归重采样合成孔径雷达　出处：《信号处理》2017年02期 　论文类型：期刊论文

【摘要】：调频连续波雷达凭借其结构简单、造价低廉等优势在目标探测与识别等方面体现出重要的应用价值,然而系统的非线性调制问题成为制约其性能的重要因素。传统的非线性校正方法能够在一定程度上估计非线性,但估计过程中的误差传递问题导致校正效果并不理想。基于该问题,本文提出一种基于多项式回归的方法实现非线性的准确估计。所提算法首先将非线性相位建模为多项式函数,然后通过多项式回归实现参数的联合估计,以消除误差传递问题。基于估计出的参数,通过时域重采样操作实现非线性的校正。仿真结果表明,所提算法不仅能够准确估计出多项式参数,而且在一定信噪比下比传统算法更接近克拉美—罗界。X波段FMCW雷达实测数据处理结果显示,本文所提算法可以有效消除非线性误差。
[Abstract]:Because of its simple structure and low cost, FM CW radar has important application value in target detection and recognition. However, the nonlinear modulation problem of the system has become an important factor that restricts its performance. The traditional nonlinear correction method can estimate the nonlinearity to a certain extent. However, the error transfer problem in the estimation process leads to an unsatisfactory correction effect. In this paper, a method based on polynomial regression is proposed to realize accurate nonlinear estimation. Firstly, the nonlinear phase is modeled as a polynomial function, and then the joint estimation of parameters is realized by polynomial regression. In order to eliminate the error transfer problem, the nonlinear correction is realized by time domain resampling based on the estimated parameters. The simulation results show that the proposed algorithm can not only accurately estimate the polynomial parameters. Moreover, the experimental data processing results of FMCW radar in the X-band are closer to that of the conventional algorithm in a certain SNR. The results show that the proposed algorithm can effectively eliminate nonlinear errors.
【作者单位】：解放军信息工程大学导航与空天目标工程学院;
【基金】：国家自然科学基金(41301481)资助项目
【分类号】：TN958.94
【正文快照】： 1引言调频连续波(Frequency-modulated continuous-wave,FMCW)雷达作为一种结构简单、体积小、分辨率高的雷达系统,在目标探测与识别、近距离安全检测等方面引起了人们的广泛关注[1-2]。然而,系统中的调频非线性问题却成为制约FMCW雷达应用的瓶颈。尤其在宽带系统中,难以在大

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