复制品
声学
带宽(计算)
信号处理
信号(编程语言)
航程(航空)
物理
地质学
大地测量学
光学
计算机科学
电信
地理
材料科学
复合材料
考古
程序设计语言
雷达
作者
David J. Geroski,David R. Dowling
出处
期刊:Journal of the Acoustical Society of America
[Acoustical Society of America]
日期:2019-12-01
卷期号:146 (6): 4727-4739
被引量:27
摘要
Matched field processing (MFP) refers to a variety of source localization schemes for known complicated environments and involves matching measured and calculated (replica) fields to identify source locations. MFP may fail for several reasons, most notably when the calculated fields are insufficiently accurate. This error commonly prevents MFP-based long-range (>100 km) source localization in the deep ocean (from 5 to 6 km depth) for signal frequencies of hundreds of Hz, even when extensive high-signal-to-noise ratio field measurements are available. Recently, below-band MFP utilizing the frequency-difference autoproduct [Worthmann, Song, and Dowling (2015). J. Acoust. Soc. Am, 138(6), 3549–3562] achieved some shallow-ocean localization success at a 3 km source-to-array range with signal frequencies in the tens of kHz. The performance of this technique, when extended to matching the measured frequency-difference autoproduct with a composite mode-ray replica, is described here for deep ocean source localization. The ocean propagation data come from the PhilSea10 experiment and involve source-to-array ranges from 129 to 379 km and nominal 100-Hz-bandwidth signals having center frequencies from 250 to 275 Hz. Based on an incoherent average of five signal samples, the frequency-difference technique was 90%–100% successful at four different source-to-array ranges using single-digit-Hz difference frequencies.
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