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Deconvolved Beamforming for a Compact Conformal Array on a Three-dimensional Mobile Platform

机译:在三维移动平台上用于紧凑共形阵列的去卷积波束成形

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A robust and high-resolution deconvolution algorithm based on coordinate correction is developed for a compact conformal array on a three-dimensional (3D) moving platform such as underwater glider. First, the coordinate-correcting conventional beamforming is derived to directly estimate the azimuth of the long-range targets in the geodesic coordinate system for a 3D moving platform array. Then, we improve the extended Richardson-Lucy deconvolution (Ex-RL-dCv) beamforming algorithm utilizing coordinate correction to simplify the bearing estimation model from two-dimensional (2D) to one-dimensional (1D). The improved algorithm corrects the deconvolution point spread function (PSF) dictionary mismatch caused by the platform's 3D motion, and has lower sidelobes compared with the Ex-RL-dCv algorithm without coordinate correction. Finally, simulations and results from field-trial data processing are presented. The results demonstrate that the improved Ex-RL-dCv beamforming based on coordinate correction can significantly suppress the high sidelobes caused by deconvolution model mismatch, and successfully realize the robust and high-resolution detection for targets using the compact conformal array on a 3D mobile platform.
机译:针对水下滑翔机等三维移动平台上的紧凑共形阵列,开发了一种基于坐标校正的鲁棒高分辨率反卷积算法。首先,推导了坐标校正常规波束成形方法,用于直接估计三维移动平台阵列测地线坐标系中远距离目标的方位角;然后,利用坐标校正改进了扩展的Richardson-Lucy反卷积(Ex-RL-dCv)波束成形算法,将方位估计模型从二维(2D)简化为一维(1D)。改进算法纠正了平台3D运动引起的反卷积点扩散函数(PSF)字典失配,与无坐标校正的Ex-RL-dCv算法相比,具有更低的旁瓣。最后,介绍了现场试验数据处理的模拟和结果。结果表明,改进的基于坐标校正的Ex-RL-dCv波束成形技术能够显著抑制反卷积模型失配导致的高旁瓣效应,并成功实现了在三维移动平台上使用紧凑共形阵列对目标的鲁棒性和高分辨率检测。

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