High Resolution Acoustic Imaging for Torpedo Target Recognition with Sparse Array
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摘要: 鱼雷目标声成像和图像制导是鱼雷在现代复杂水声对抗战场条件下实现准确目标识别和智能化精确制导的最有效途径。为了实现鱼雷图像化目标识别和精确图像制导, 针对鱼雷应用特点, 研究了鱼雷利用预成空间密集窄波束实现高方位分辨、同时利用各窄波束宽带信号处理实现高距离分辨的目标声成像方法, 提出了鱼雷声成像高频非均匀复合稀疏阵及其波束形成方法, 分别给出了宽带信号高距离分辨成像处理方法和基于双阈值分割及模糊聚类的目标声图像优化处理方法, 有效实现了空间方位和距离高分辨的鱼雷目标声成像。该方法大大减小了硬件规模, 易于工程实现。计算机仿真和水池试验结果表明, 该鱼雷目标声成像方法可以有效获取目标声图像, 并具有很高的方位和距离分辨能力。Abstract: Underwater acoustic imaging and image guidance are the most effective ways to torpedo target recognition and intelligent precision guidance in modern complex underwater acoustic countermeasure of battlefield environment. In order to realize target image recognition and precise image guidance in torpedoes, aiming at torpedo applications, this study presented an acoustic imaging method with high azimuth and range resolutions by means of preformed dense nar-row beams and image signal processing of each narrow beam. A novel high frequency non-uniform sparse array and the beamforming method were put forward to generate dense narrow beams and achieve high azimuth resolution. And the algorithms of high range resolution imaging processing with wideband signal were proposed for each beam further processing and achieving high range resolution. Additionally, a method for target acoustic image optimization based on double thresholds segmentation and fuzzy clustering analysis was developed. Hence, target high resolution acoustic imaging was implemented with lower hardware complexity of the imaging system and convenience. Computer simula-tions and experiments indicate that the acoustic imaging scheme is effective to achieve target acoustic images with high azimuth and range resolutions.
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