圆阵是现代探测系统中最常见的设计之一,它被广泛的应用于雷达、通信、声呐等领域。提高圆阵的方位分辨率和对弱目标的检测能力是目前的研究热点。超波束算法( HBF)是一种基于CBF算法和分裂波束理论的信号处理算法,它可以有效抑制旁瓣,减小波束宽度。本文将HBF算法应用到圆阵信号处理之中,并与CBF算法相对比。分析仿真结果发现,HBF算法可以有效提高圆阵的方位分辨率和对弱目标的探测能力,并且超波束指数对这种能力产生了影响。%Circular array, which is one of the most common design in modern detection system, is widely used in radar, communication equipments, sonar and others. The research of improvig its accuracy of judging the azimuth and its ability to detect weak targets is popular. Hyper Beamforming( HBF) algorithm is a kind of signal processing algorithm, which is based on CBF and split beam algorithm. The HBF can effectively suppress the side lobe and reduce the beamwidth. In this passage, HBF algorithm is used to process the signal of circular array, and I compared it with the CBF. Through the analysis of simulation results, we can find that the HBF algorithm can effectively improve the ability to judge the azimuth and detect weak targets of circular array.
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