基于矢量线阵的目标低频线谱提取方法

主动声呐系统常采用线性调频信号探测水下目标。利用分数阶傅里叶变换处理线性调频回波时,可在低信噪比和强混响背景下获得目标参数的有效估计。主动声呐系统常通过增大发射信号的时间带宽积来提升系统的距离分辨力和速度分辨力,但却带来了计算复杂度的显著增加,尤其是奈奎斯特采样下基于分数阶傅里叶变换的回波处理方法,导致数据处理时间难以满足功耗和体积受限的无人水下航行器平台的实时性要求。针对此问题,该文提出分数阶傅里叶变换的带通采样实现方法,通过对线性调频信号时频特性直线在分数阶域的投影进行修正,使利用分数阶傅里叶变换方法处理带通采样的回波数据时,可获得正确的目标参数估计。计算机仿真数据和无人水下航行器湖试数据处理结果验证了分数阶傅里叶变换的带通采样实现方法的正确性,数据处理时间能够满足无人水下航行器平台处理的实时性要求。

Fusion extraction method of target low frequency line spectrum based on vector sensor line array

The extraction problem of low frequency line spectrum of VLA tracking target is studied. A complete VLA low frequency line spectrum fusion extraction method is proposed. It is proposed that the mean square error multiplied by a scale factor can be used to set the threshold. Spectral components, and the use of high-signal-to-noise ratio line-spectrum direction-finding method to eliminate the interference line spectrum method to accurately extract the target feature line spectrum is studied, which effectively solves the problem of mutual interference of low-frequency line spectrum features of VLA port and starboard targets. Simulation and sea trial data verify the effectiveness of the proposed method.