Skyfall: Signal Fusion from a Smartphone Falling from the Stratosphere
- Univ. of Hawaii at Manoa, Honolulu, HI (United States); RedVox, Inc., Kailua-Kona, HI (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Nevada National Security Site (NNSS), Las Vegas, NV (United States)
- RedVox, Inc., Kailua-Kona, HI (United States)
- Univ. of Hawaii at Manoa, Honolulu, HI (United States)
A smartphone plummeted from a stratospheric height of 36 km, providing a near-real-time record of its rapid descent and ground impact. An app recorded and streamed useful internal multi-sensor data at high sample rates. Signal fusion with external and internal sensor systems permitted a more detailed reconstruction of the Skyfall chronology, including its descent speed, rotation rate, and impact deceleration. Our results reinforce the potential of smartphones as an agile and versatile geophysical data collection system for environmental and disaster monitoring IoT applications. We discuss mobile environmental sensing capabilities and present a flexible data model to record and stream signals of interest. The Skyfall case study can be used as a guide to smartphone signal processing methods that are transportable to other hardware platforms and operating systems.
- Research Organization:
- Univ. of Michigan, Ann Arbor, MI (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Georgia Institute of Technology, Atlanta, GA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- NA0003920; NA0003920 (MTV) and DE-NA0003921 (ETI); NA0003525; NA0003921
- OSTI ID:
- 1863632
- Alternate ID(s):
- OSTI ID: 1870492; OSTI ID: 1878093; OSTI ID: 1878568
- Report Number(s):
- SAND2022-4691J; TRN: US2307473
- Journal Information:
- Signals, Vol. 3, Issue 2; ISSN 2624-6120
- Publisher:
- MDPICopyright Statement
- Country of Publication:
- United States
- Language:
- English
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