Three Methods for Beam Sharpening and Multi-Target Azimuth Discrimination
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摘要: 针对鱼雷自导对大尺度多亮点目标精细特征提取与识别、目标精确定向、多目标方位分辨等需要的高空间方位分辨力问题, 分别研究了Hyperbeam波束锐化、多普勒波束锐化和基于线性预测的虚拟阵元扩展波束锐化等方法以及多目标方位分辨性能, 深入分析了各方法理论模型, 仿真研究了波束锐化与多目标方位分辨效果, 并进行了试验验证。研究结果表明, 对于单目标精确定向, Hyperbeam方法有很好的波束锐化效果; 对于多相干目标方位分辨, 后2种方法具有较好的工程应用价值。Abstract: To enhance azimuth discrimination of torpedo homing system for large-scale multi-highlight target detailed feature extraction and recognition, accurate orientation, and multi-target azimuth discrimination, etc., three methods are presented for sharpening Hyperbeam, Doppler beam, and linear prediction based virtual elements extended array beam. And their performances of multi-target azimuth discrimination are analyzed. The theoretical models of the beam sharp-ening methods are discussed in detail, and are verified by simulations. Experiments show that the Hyperbeam sharpening method is effective in the case of single target but not available for multi-target conditions, while the other two methods are more applicable for azimuth discrimination of multi coherent targets.
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Key words:
- torpedo /
- beam sharpening /
- multi-target azimuth discrimination /
- linear prediction
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[1] Heiko S, Holger E. Method for the Formation of Radiated Beams in Direction Finder Systems: US Patent, 6021096 [P], 2000-02-01. http://www.Freepatentson-line.com/602 1096. html. [2] 聂良春. 超波束(HBF)用于波束锐化[J]. 声学技术, 2008, 27(6): 892-895.Nie Liang-chun. Hyper Beamforming(HBF) Technique for Beam Narrowing[J]. Technical Acoustics, 2008, 27(6): 892-895. [3] 杨云川, 张奎. HyperBeam分析及被动检测应用[C]// 2008鱼雷自导引信技术研讨会论文集, 2008. [4] 胡鹏. 虚拟阵元波束形成方法研究[D]. 西安: 西北工业大学, 2006. [5] 胡广书. 数字信号处理理论、算法与实现[M]. 第2版. 北京: 清华大学出版社, 2003. -
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