Biologically-inspired radar and sonar systems

Leighton, Timothy G.; Balleri, Alessio

doi:10.1049/iet-rsn.2012.0146

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…In the last twenty years, military sonar that was designed in the Cold War for the deep, dark, quiet waters of the Arctic, has been deployed in shallow coastal regions (Leighton, Balleri, 2012), where its operation is compromised by the presence of bubbles from breaking waves, river outflows, biological activity and decomposition etc. Whales and dolphins have however spent millions of years evolving acoustic systems to work in such environments.…”

Section: Introductionmentioning

confidence: 99%

Dolphin-Inspired Target Detection for Sonar and Radar

Leighton¹,

White²

2015

Archives of Acoustics

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Gas bubbles in the ocean are produced by breaking waves, rainfall, methane seeps, exsolution, and a range of biological processes including decomposition, photosynthesis, respiration and digestion. However one biological process that produces particularly dense clouds of large bubbles, is bubble netting. This is practiced by several species of cetacean. Given their propensity to use acoustics, and the powerful acoustical attenuation and scattering that bubbles can cause, the relationship between sound and bubble nets is intriguing. It has been postulated that humpback whales produce 'walls of sound' at audio frequencies in their bubble nets, trapping prey. Dolphins, on the other hand, use high frequency acoustics for echolocation. This begs the question of whether, in producing bubble nets, they are generating echolocation clutter that potentially helps prey avoid detection (as their bubble nets would do with manmade sonar), or whether they have developed sonar techniques to detect prey within such bubble nets and distinguish it from clutter. Possible sonar schemes that could detect targets in bubble clouds are proposed, and shown to work both in the laboratory and at sea. Following this, similar radar schemes are proposed for the detection of buried explosives and catastrophe victims, and successful laboratory tests are undertaken.

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Section: Introductionmentioning

confidence: 99%

Dolphin-Inspired Target Detection for Sonar and Radar

Leighton¹,

White²

2015

Archives of Acoustics

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“…Specifically, an echolocating bat emits brief ultrasonic pulses through mouth or nostrils, and use the returning echoes to navigate [12,13]. Due to their outstanding navigation ability, bats have received constant attention in the research of bio-inspired radar and sonar [14,15]. Robotic systems that mimic bat's biosonar have been designed to accomplish various tasks including localization and identification of objects [16][17][18][19], tracking [20], obstacle-avoidance [21,22], safe landing [23], and convoy control [24].…”

Section: Introductionmentioning

confidence: 99%

A simulation framework for bio-inspired sonar sensing with Unmanned Aerial Vehicles

Tanveer

Thomas

et al. 2020

PLoS ONE

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We introduce a unified simulation framework that generates natural sensing environments and produces biosonar echoes under various sensing scenarios. This framework produces rich sensory data with environmental information completely known, thus can be used for the training of robotic algorithms for biosonar-based Unmanned Aerial Vehicles. The simulated environment consists of random trees with full geometry of the tree foliage. To simulate a single tree, we adopt the Lindenmayer system to generate the initial branching pattern and integrate that with the available measurements of the 3D computer-aided design object files to create natural-looking branches, sub-branches, and leaves. A forest is formed by simulating trees at random locations generated by using an inhomogeneous Poisson process. While our simulated environments can be generally used for testing other sensors and training robotic algorithms, in this study we focus on testing bat-inspired Unmanned Aerial Vehicles that recreate bat’s flying behavior through biosonar sensors. To this end, we also introduce an foliage echo simulator that produces biosonar echoes while mimicking bat’s biosonar system. We demonstrate the application of the proposed simulation framework by generating real-world scenarios with multiple trees and computing the resulting impulse responses under static or dynamic motions of an Unmanned Aerial Vehicle.

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Design and implementation of a dual band bioinspired leaf rectenna for RF energy harvesting applications

Çelik

Kurt

2021

Int J RF Microw Comput Aided Eng

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In this article, both design and implementation of a novel Omni‐directional bioinspired Linden leaf‐shaped rectenna are reported. The antenna is designed for the energy harvesting purposes under the operation frequency range between 1.6 and 2.65 GHz with a second harmonic rejection property. At the rectifier stage, voltage doubler circuit is designed and implemented with the help of microstrip transmission lines, which are used for impedance matching procedure between the antenna and the rectifier for the optimum power transfer from the antenna to the load for the operation dual bands of universal mobile telecommunication service and WIFI. In the design, SMS7630Schottky diodes, high frequency capacitors and inductors are used as the main surface mount devices. The FR4 epoxy material is selected as a substrate material for both the antenna and the rectifier circuit due to its low cost and easy—production scheme. The maximum efficiency value realized at the dual band operation is 42% at the 0 dBm input power level. The output voltage value and the harvested power at this point are nearly 960 mV and 0.42 mW with an optimum load RL = 2.2 KOhm. The implemented system can be used efficiently for the RF energy harvesting applications for the proposed frequency bands.

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Biologically-inspired radar and sonar systems

Cited by 8 publications

References 17 publications

Dolphin-Inspired Target Detection for Sonar and Radar

Dolphin-Inspired Target Detection for Sonar and Radar

A simulation framework for bio-inspired sonar sensing with Unmanned Aerial Vehicles

Design and implementation of a dual band bioinspired leaf rectenna for RF energy harvesting applications

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