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Automated matched-field tracking in shallow water 2000 IEEE international symposium

机译:2000年IEEE浅水区自动匹配场跟踪

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Matched-field tracking (MFT) is the application of matched-field processing (MFP) to a moving source. This involves either post-processing MFP outputs to detect tracks of target peaks, or generalizing the search space of the processor to include candidate source tracks. The latter approach, referred to as automated MFT, is examined in this paper. By integrating matched-field correlations over candidate source tracks, the true track can be detected (as determined by the highest integrated correlation) and the target track parameters estimated. In addition, the integration process results in a gain in detectibility for the true source track. For the general case of a source moving in three-dimensions through an environment which varies in three dimensions, the technique is computationally restrictive, because of the large number search parameters. However, for a vertical line array (VLA) in a range-independent environment, and an assumption of constant-depth, constant range-rate tracks, the search space is reduced to the range and depth at the beginning (or end) of the track, and the range-rate. The integration process can then be performed by a simple shift-then-average scheme applied to range-depth ambiguity-surface time samples. For a constant-velocity source, the range-rate can generally be assumed to be constant, except for a period in which it passes through the closest-point-of-approach (CPA). For that case, a CPA estimator, which attempts to match data from a moving source with that expected for candidate CPA tracks, is implemented. For horizontal line arrays (HLAs), a hybrid planewave beamforming/matched-field processing, track-before-detect (TBD) technique, which takes advantage of the azimuthal-filtering capability of HLAs to limit the bearing search, may be used. This approach provides estimates of the full track parameters (range, depth, course, and speed) with a processing load substantially lower than that required for a fully three-dimensional MFP search. These techniques are applied to experimental tonal data collected on a VLA and HLA during the 1996 Shallow Water Evaluation Cell Experiment (SWellEX-96), which occurred in 200-m water, 6 km southwest of San Diego.
机译:匹配场跟踪(MFT)是将匹配场处理(MFP)应用于移动源。这涉及对MFP输出进行后处理以检测目标峰的轨迹,或者将处理器的搜索空间泛化为包括候选源轨迹。本文研究了后一种方法,称为自动MFT。通过在候选源磁道上集成匹配场相关性,可以检测到真实磁道(由最高积分相关性确定),并估算目标磁道参数。此外,集成过程还可以提高对真实源轨道的可检测性。对于源在三维环境中以三维方式移动的一般情况,由于大量的搜索参数,该技术在计算上受到限制。但是,对于与范围无关的环境中的垂直线阵列(VLA),并假设具有恒定深度,恒定范围速率的磁道,搜索空间会缩小到范围的开始和结束处的范围和深度。跟踪和范围率。然后可以通过将简单的平移-平均方法应用于范围深度模糊度-表面时间样本来执行积分过程。对于恒定速度源,通常可以将范围速率假定为恒定,除了它通过最接近点(CPA)的时间段。对于这种情况,实施了CPA估算器,该估算器试图将来自移动源的数据与候选CPA曲目的预期数据进行匹配。对于水平线阵列(HLA),可以使用混合平面波波束成形/匹配场处理,检测前跟踪(TBD)技术,该技术利用HLA的方位滤波功能来限制方位搜索。这种方法提供的全轨参数(范围,深度,航向和速度)的估计值,其处理负载大大低于完整三维MFP搜索所需的处理负载。这些技术应用于在1996年浅水评估单元实验(SWellEX-96)期间在VLA和HLA上收集的实验音调数据,该实验发生在圣地亚哥西南6公里处的200 m水中。

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