现场特定被动声呐性能预测

N. Owsley
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引用次数: 0

摘要

讨论了在只有单一全向水听器数据可用的特定候选地点预测被动声纳性能db预算的基于测量的计划和方法。对24/7校准水听器数据的分析支持对昂贵的大型声学观测站进行详细的性能预测。备选地点选在与商业港口相邻的海底有限的沿海地区,该港口有非常高的水面船舶交通水平。声学数据允许统计表征水平相干距离,声环境底噪声和所谓的高电平事件(HLEs)的峰值绝对声压,由于水面舰艇的通过。HLEs绝对电平的直方图分析与传统的(延时和)波束形成(CBF)旁瓣电平相结合,用于预测最佳自适应波束形成(ABF)阵列增益改进(AGI)。对于所考虑的特定部位,预测ABF相对于CBF的AGI时间间隔大于20 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Site-specific passive sonar performance prediction
A measurement-based plan and methodology are discussed for predicting a passive sonar performance dB-budget at a specific candidate site for which only single omnidirectional hydrophone data is available. Analysis of 24/7 calibrated hydrophone data supports detailed performance forecasting for a costly, large scale acoustic observatory. The candidate site selected for consideration is in a bottom-limited littoral contiguous to a commercial port with a very high level of surface ship traffic. The acoustic data allows the statistical characterization of horizontal coherence distance, acoustic ambient noise floor and peak absolute acoustic sound pressure for so-called high level events (HLEs) due to the passage of surface ships. Histogram analysis of the absolute level of HLEs is used in conjunction with conventional (time delay-and-sum) beamforming (CBF) sidelobe levels to predict optimum-adaptive beamforming (ABF) array gain improvement (AGI). For the specific site considered, time intervals of AGI for ABF relative to CBF greater than 20 dB are predicted.
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