Detection Algorithm for Cellular Synchronization Signals in Airborne Applications

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https://ieeexplore.ieee.org/document/9398673

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https://doi.org/10.1109/ACCESS.2021.3071674
 http://hdl.handle.net/11603/21535

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2021-04-07

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journal articles
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Citation of Original Publication

B. W. Stevens and M. F. Younis, "Detection Algorithm for Cellular Synchronization Signals in Airborne Applications," in IEEE Access, vol. 9, pp. 55555-55566, 2021, doi: 10.1109/ACCESS.2021.3071674.

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Abstract

Cellular to air communication is critical for the booming aerial package delivery and transportation business. Detecting cellular signals in airborne applications is challenging because it requires receiving and processing waveforms that are subject to significantly more interference than those experienced in terrestrial settings. This paper highlights and tackles the complexity of 4G Long Term Evolution (LTE) signal synchronization in high altitude applications, e.g., cell access onboard an aircraft. Specifically, we design a novel cell detector that operates efficiently under high interference levels found in airborne applications, maintains a constant false alarm rate using an optimized threshold implementation for Zadoff Chu sequences, and monitors multiple towers with different time delays simultaneously. We validate our cell detector through simulation and experimentation. Lastly, the cell detector is used to estimate the interference in live waveforms taken from an aircraft at 2 to 2.5 km altitude and velocities of 200–400 km/h. Our cell detection model can be adapted to support 5G New Radio (NR) synchronization signals as NR deploys aerial support in the future. The threshold implementation to handle correlation spurs can be applied directly to other Zadoff Chu based signals such as random access signals found in both LTE and NR.