一种面向水面纹理的毫米波LFMCW雷达成像算法

发布时间：2018-11-03 21:14

【摘要】：利用毫米波线性调频连续波(LFMCW)雷达探测水面时,静止目标的回波以及噪声通常会淹没水面本身的回波信号,导致采用传统成像算法得到的结果中难以看到水面波浪纹理。针对这一问题,该文提出一种面向水面纹理的毫米波LFMCW雷达成像算法,该算法在距离向上采用Dechirp技术进行距离压缩,在方位向上进行分块处理。方位向分块处理过程中,首先根据静止目标与运动目标回波多普勒频率不同的特性,在频域去除静止目标回波的干扰;然后基于水面电磁散射特性,采用最大似然估计方法估计方位向频谱参数,计算水面回波能量。采用该算法对实测数据进行处理,结果显示该算法能够获得水面纹理信息,成像结果优于传统成像算法。
[Abstract]:When millimeter-wave linear frequency modulated continuous wave (LFMCW) radar is used to detect the water surface, the echo and noise of the stationary target usually submerge the echo signal of the water surface itself, so it is difficult to see the wave texture in the results obtained by the traditional imaging algorithm. In order to solve this problem, a millimeter-wave LFMCW radar imaging algorithm for water surface texture is proposed in this paper. The Dechirp technique is used for range compression in range upward and block processing in azimuth direction. In the process of azimuth block processing, firstly, according to the difference of Doppler frequency between stationary target and moving target, the interference of static target echo is removed in frequency domain. Then, based on the electromagnetic scattering characteristics of water surface, the maximum likelihood estimation method is used to estimate the azimuth spectrum parameters and calculate the water surface echo energy. The algorithm is used to process the measured data, and the results show that the algorithm can obtain the texture information of water surface, and the imaging result is better than the traditional imaging algorithm.
【作者单位】：中国科学院电子学研究所;微波成像技术国家重点实验室;中国科学院大学;中国科学院微电子研究所;
【基金】：微波成像技术国家重点实验室基金(CXJJ_15S119)~~
【分类号】：TN957.52

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