Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Characterization of seabed targets using networks of Autonomous Underwater Vehicles (AUVs) is of great interest for harbor security. The imaging sensors generally used for target localization and classification are expensive for outfitting multiple AUVs and produce data that is difficult to use for real-time onboard classification. An approach to this problem has been developed in which an acoustic source insonifies targets and AUVs with inexpensive hydrophone nose arrays are used to sample the resulting scattered fields. These scattered fields consist of distinctive radiation patterns, where the amplitude sampled by a receiving AUV for a particular target is determined by source frequency, aspect angle beten source and target, and bistatic angle beten source and receiver. AUV behaviors re developed to control the bistatic angles relative to a localized target beten source and receiver vehicles and aspect angle beten a target and the source. Two configurations re explored: bistatic, where the source is fixed and receiver moving, and multistatic, where both source and receiver are located on mobile autonomous vehicles. Design considerations for behaviors to sample different combinations of bistatic angle and aspect angle included keeping receiving arrays broadside to a target for uniform-quality data collection and obeying vehicle dynamics constraints. Behaviors for the bistatic configuration re demonstrated in AUV experiments, and behaviors for the multistatic case re demonstrated in simulation, including collaboration beten source and receiver vehicles for controlling bistatic versus aspect angle.
['Erin M. Fischell', 'Henrik Schmidt']
I am writing a research paper on a idea AUV behaviors for collection of bistatic and multistatic acoustic scattering data from seabed targets
[{"from": "human", "value": "I am writing a research paper on a idea AUV behaviors for collection of bistatic and multistatic acoustic scattering data from seabed targets"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Characterization of seabed targets using networks of Autonomous Underwater Vehicles (AUVs) is of great interest for harbor security. The imaging sensors generally used for target localization and classification are expensive for outfitting multiple AUVs and produce data that is difficult to use for real-time onboard classification. An approach to this problem has been developed in which an acoustic source insonifies targets and AUVs with inexpensive hydrophone nose arrays are used to sample the resulting scattered fields. These scattered fields consist of distinctive radiation patterns, where the amplitude sampled by a receiving AUV for a particular target is determined by source frequency, aspect angle beten source and target, and bistatic angle beten source and receiver. AUV behaviors re developed to control the bistatic angles relative to a localized target beten source and receiver vehicles and aspect angle beten a target and the source. Two configurations re explored: bistatic, where the source is fixed and receiver moving, and multistatic, where both source and receiver are located on mobile autonomous vehicles. Design considerations for behaviors to sample different combinations of bistatic angle and aspect angle included keeping receiving arrays broadside to a target for uniform-quality data collection and obeying vehicle dynamics constraints. Behaviors for the bistatic configuration re demonstrated in AUV experiments, and behaviors for the multistatic case re demonstrated in simulation, including collaboration beten source and receiver vehicles for controlling bistatic versus aspect angle."}]