Biosonar-inspired technology: goals, challenges and insights

Biosonar-inspired technology: goals, challenges and insights
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DOI:
10.1088/1748-3182/2/4/s04
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发表时间:
2007-12
影响因子:
3.4
通讯作者:
R. Müller;R. Kuc
R. Müller;R. Kuc
中科院分区:
计算机科学3区
文献类型:
--
作者:
R. Müller;R. Kuc

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回顾和讨论了自然界中基于生物声纳系统的生物启发工程,讨论了不同方法的优点和结果:生物声纳系统因其能力、内置的特定任务知识、智能系统集成和多样性而成为有吸引力的技术典范。从蝙蝠解决的各种传感任务中获得的见解与广泛的应用领域相关,如声纳、生物医学超声、无损检测、自主系统的传感器和无线通信。生物激励声纳系统设计面临的挑战包括换能器性能、传感器移动性的驱动、波束形成挡板形状的设计、驱动和集成、用于信号处理的回波编码、估计算法及其实现,以及系统集成和反馈控制。所讨论的实验系统的示例具有以下能力:使用双耳和多频段听力以及自产生的动态线索进行定位和跟踪、对小型确定性目标和大型随机目标进行分类、利用生物启发的挡板形状进行波束形成、神经形态尖峰处理、声纳图中的伪影抑制以及通过距离估计。在未来的研究中,生物启发工程可以利用它的一些优势,作为生物启发工程过程的基本自动化方法的模型系统。
Bioinspired engineering based on biosonar systems in nature is reviewed and discussed in terms of the merits of different approaches and their results: biosonar systems are attractive technological paragons because of their capabilities, built-in task-specific knowledge, intelligent system integration and diversity. Insights from the diverse set of sensing tasks solved by bats are relevant to a wide range of application areas such as sonar, biomedical ultrasound, non-destructive testing, sensors for autonomous systems and wireless communication. Challenges in the design of bioinspired sonar systems are posed by transducer performance, actuation for sensor mobility, design, actuation and integration of beamforming baffle shapes, echo encoding for signal processing, estimation algorithms and their implementations, as well as system integration and feedback control. The discussed examples of experimental systems have capabilities that include localization and tracking using binaural and multiple-band hearing as well as self-generated dynamic cues, classification of small deterministic and large random targets, beamforming with bioinspired baffle shapes, neuromorphic spike processing, artifact rejection in sonar maps and passing range estimation. In future research, bioinspired engineering could capitalize on some of its strengths to serve as a model system for basic automation methodologies for the bioinspired engineering process.