针对左右舷模糊是拖线阵声呐的固有缺陷这一问题，依据舰艇机动转向时阵形发生弯曲畸变这一事实，提出了一种基于信号处理手段的左右舷分辨算法以实现自动、快速分辨。该技术首先采用流体动力学阵形预报技术进行实时阵形估计获取阵形数据；提出了最大似然比准则下最优统计量检验与左右舷抑制比联合的判别算法，能够有效去除虚源假目标，保留真实目标，实现判别左右舷；创新性的提出了分辨结果显示方式，采用－180°～＋180°对应左右舷侧，将真实目标亮处理，虚源目标暗处理，以动态实时刷新的舷角－时间历程图的判别形式显示真假目标。海试数据处理结果表明：该技术在舰艇机动时能够实现自动、快速左右舷分辨，分辨显示结果更加直观，克服了现有方法中无法自动判别、时间滞后等缺点，比现有方法快一倍以上。%Ambiguity about the left and right boards is an inherent shortcoming of towed array sonar because the ar⁃ray becomes curved and distorted when the vessel changes direction. A novel method to allow automatic and rapid discrimination between the left and right boards based on a signal handling method was therefore investigated. The approach used the array shape forecasting technology of fluid dynamics to forecast the real-time array shape and gain the array data. A discrimination algorithm was proposed based on optimum statistics and a combined rejection ratio of left and right boards using maximum likelihood ratio criteria. This algorithm eliminated false sources and false targets, and successfully tracked the real target to discriminate between left board and right board. A novel way of displaying the results was also proposed by lightening the real targets and darkening the false targets. Dynam⁃ic real-time refreshing of bow angle and a time history display were used to show the real and false targets. An o⁃cean experiment demonstrated that this novel method can automatically and rapidly discriminate the left and right boards during the maneuvering of navy vessels, overcoming the shortcomings of existing methods that cannot dis⁃criminate automatically and that have long discrimination durations. The proposed method was at least twice as fast as the existing method.
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