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Coherent Array Processing of GPS Sonobuoys.

机译:GPS声浮标的相干阵列处理。

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摘要

Underwater target tracking in ocean environment has attracted considerable interest in both military and civilian applications. Towards this purpose, sonobuoys are among the most capable sonar systems used in underwater environments. Sonobuoys are used to detect and track underwater objects emitting sounds. Recently GPS receivers have been integrated to sonobuoy systems to provide accurate information about sonobuoys positions. An accurate knowledge of geographic positions of deployed sonobuoys is critical for the conduct of antisubmarine warfare (ASW) operations and detected target localization. It enables processing array of GPS sonobuoys thus improving the target tracking accuracy. Considering that sonobuoy positions are accurately known, the main factors influencing the operation of sonobuoys would be the interference sources and background noise.;This research aims at: (1) Developing a high resolution spectral estimation algorithm to improve target detection and enhance the accuracy of bearing estimation; (2) Exploring the theoretical requirements for sonobuoy positioning in order to feasibly and coherently process a field of sonobuoys; (3) Designing a method for coherently processing uniform and arbitrary arrays of GPS sonobuoys; (4) Integrating frequency domain adaptive beamforming with artificial neural network (ANN) to resolve the ambiguity existing in bearing estimation when processing widely spaced array omnidirectional sonobuoys; (5) Developing a virtual array search method to enhance the bearing estimation when processing sparse array of directional sonobuoys.;The proposed methods are examined and their performances are verified using acoustic level simulated data development for different underwater environmental conditions. Comparisons to the conventional processing techniques are conducted to assess the benefits of the proposed methods. The results show the proposed methods are capable of enhancing the accuracy of target bearing estimation especially in cases of relatively low SNR. The merits and limitations of the proposed methodologies are discussed and analyzed in this thesis.;The background noise, the low sound pressure levels of some underwater targets, the sonobuoys drift, the attenuation of the sound pressure level, the sonobuoys deployment strategy and the self noise of hydrophones are among the main factors deteriorating the system accuracy and jeopardizing the overall performance. The present trend of decreasing signal of interest levels while increasing noise due to the growing ocean traffic has served to continually complicate ASW operations. Coherently processing an array of GPS sonobuoys can lead to noise reduction and hence higher signal to noise ratio (SNR). Some research activities targeted the utilization of an array of sonobuoys to utilize beamforming technology to reject unwanted noise and enhance the reception of desired signals. However, the limitation on the inter-element spacing was always considered the main factor affecting the system performance.
机译:海洋环境中的水下目标跟踪已引起军事和民用应用的极大兴趣。为了这个目的,声纳浮标是在水下环境中使用的最强大的声纳系统之一。声浮标用于检测和跟踪发出声音的水下物体。最近,GPS接收器已集成到声波浮标系统中,以提供有关声波浮标位置的准确信息。准确了解已部署声纳浮标的地理位置对于进行反潜战(ASW)行动和检测到的目标定位至关重要。它可以处理GPS声纳浮标阵列,从而提高目标跟踪精度。考虑到声浮标的位置是已知的,影响声浮标运行的主要因素是干扰源和背景噪声。;本研究的目的是:(1)开发一种高分辨率频谱估计算法,以改进目标检测并提高目标的准确性。方位估计; (2)探索声纳浮标定位的理论要求,以便可行,连贯地处理声纳浮标领域; (3)设计一种用于统一处理GPS声纳浮标阵列的方法。 (4)将频域自适应波束成形与人工神经网络(ANN)集成,以解决在处理大间距阵列全向声浮标时方位估计中存在的歧义; (5)开发了一种虚拟阵列搜索方法来增强定向声纳浮标稀疏阵列处理时的方位估计。与常规处理技术进行比较以评估所提出方法的益处。结果表明,所提出的方法能够提高目标方位估计的准确性,尤其是在信噪比相对较低的情况下。本文对本文提出的方法的优缺点进行了讨论和分析。;背景噪声,某些水下目标的声压级低,声浮标的漂移,声压级的衰减,声浮标的部署策略和自我水听器的噪声是降低系统精度并危及整体性能的主要因素之一。由于日益增加的海洋运输量,目前降低兴趣信号水平同时增加噪声的趋势使ASW作业不断复杂化。相干地处理一系列的GPS声浮标可以降低噪声,从而提高信噪比(SNR)。一些研究活动的目标是利用声纳浮标阵列来利用波束成形技术来抑制有害噪声并增强所需信号的接收。但是,始终将元素间距限制视为影响系统性能的主要因素。

著录项

  • 作者

    Osman, Abdalla Mostafa.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Engineering Naval.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 231 p.
  • 总页数 231
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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