声呐设备目标通常在波束形成后的方位能量谱中以峰值形式显示，峰值的强弱一般代表着目标强弱。为了解决传统显示软件中因方位能量谱图统一缩放而无法快速直观区分弱目标与背景的问题，提出一种可在保持背景基本稳定的情况下，对目标方位处实现局部缩放的，突出目标方位的信号处理方法。该方法利用背景均衡归一化技术，压缩能量谱的动态范围；根据估计的背景门限，对能量谱进行分段修正；对分段后数据调整相应缩放系数后再进行局部缩放。仿真和实际数据验证，本方法处理后的目标峰值会根据缩放指令相应变化而背景保持基本稳定，能实现快速直观区分目标和背景、突出显示和识别目标方位的功能。
Sonar targets are usually shown in the form of peaks in the azimuth energy spectrum after beamforming, and the strength of the peaks generally represent the strength of the targets. In order to solve the problem that the traditional display software can not distinguish weak targets from background quickly and visually because of the unified scaling of the azimuth energy spectrum, this paper presents a signal processing method that can realize local scaling of the azimuth of the targets while keeping the background basically stable. The method uses background equalization normalization technique to compress the dynamic range of energy spectrum. According to the estimated background threshold, the energy spectrum is modified in segments. Local scaling is carried out after adjusting the corresponding scaling coefficient of the segmented data. Simulation and actual data verify that the target peaks processed by this method will change according to the zoom instruction while the background remains basically stable, which can realize the functions of quickly and intuitively distinguishing the targets from the background, highlighting and identifying the orientation of the targets.
2024,46(11): 151-155 收稿日期：2023-08-11
DOI：10.3404/j.issn.1672-7649.2024.11.027
分类号：TB566
作者简介：张铮(1990-),男,硕士,工程师,研究方向为水声信号处理、声呐工程
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