多维阵列集成主-被动声纳自适应处理的实现

S. Stergiopoulos, A.C. Dhanantwari
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引用次数: 5

摘要

调查报告包括一个用于水下机器人操作的多维阵列声纳,如猎雷。讨论了ROV的机器人配置的各个方面,并结合包括自适应波束形成器在内的多维阵列声纳集成功能提供的声纳性能特征进行了讨论。所提出的自适应处理概念已在一种部署圆柱阵的集成主-被动实时声纳中实现。从柱阵声纳系统的自适应波束形成输出和常规波束形成输出的实际数据结果表明,自适应波束形成器在抑制主动声纳混响和杂波效应方面具有优异的性能。此外,在被动声纳应用中,与传统波束形成器相比,自适应处理大大提高了波束形成器的角分辨率性能。圆柱阵列声纳的这两种性能改进对猎雷行动特别重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of adaptive processing in integrated active-passive sonars with multi-dimensional arrays
The investigation reported includes a multi-dimensional array sonar for underwater robotics operations, such as mine hunting. The various aspects of robotics arrangements for the ROV are discussed in association with the sonar performance characteristics provided by the integrated functionality of the multi-dimensional array sonar including an adaptive beamformer. The proposed adaptive processing concept has been implemented in an integrated active-passive real-time sonar deploying a cylindrical array. Real data results from the adaptive and conventional beamforming outputs of the cylindrical array sonar system demonstrate the superior performance of the adaptive beamformer in suppressing the reverberation and cluttering effects in active sonar applications. Moreover, for passive sonar applications, the adaptive processing provides substantially improved the angular resolution performance as compared with that of the conventional beamformer. Both these two performance improvements for a cylindrical array sonar are of particular importance for mine hunting operations.
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