The paper describes a novel distance evaluation algorithm based on the time-difference of arrival (TDOA) principle. The proposed method solves the distance estimation problem applying the Lyapunov theory. To perform this task, the distance evaluation problem is converted to a parameters identification process exploiting the sensing signal peculiarities. This latter combines the properties of the Frank-Zadoff-Chu (FZC) sequences with the Orthogonal Frequency-Division Multiplexing (OFDM) modulation scheme. The resulting signal can be used to improve accuracy and precision in distance estimation using a reduced signal bandwidth. The system was modeled considering either an additive white noise Gaussian channel and a moderate multipath model. The simulation results demonstrate that the system achieves an accuracy and a precision better than 10 cm considering SNR equal to 0 dB and signal bandwidths of only 125 MHz.

Distance Estimation Algorithm for Wireless Localization Systems Based on Lyapunov Sensitivity Theory / Piccinni, Giovanni; Torelli, Francesco; Avitabile, Gianfranco. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 7:(2019), pp. 8865060.158338-8865060.158348. [10.1109/ACCESS.2019.2947015]

Distance Estimation Algorithm for Wireless Localization Systems Based on Lyapunov Sensitivity Theory

Giovanni Piccinni
Investigation
;
Francesco Torelli;Gianfranco Avitabile
Investigation
2019-01-01

Abstract

The paper describes a novel distance evaluation algorithm based on the time-difference of arrival (TDOA) principle. The proposed method solves the distance estimation problem applying the Lyapunov theory. To perform this task, the distance evaluation problem is converted to a parameters identification process exploiting the sensing signal peculiarities. This latter combines the properties of the Frank-Zadoff-Chu (FZC) sequences with the Orthogonal Frequency-Division Multiplexing (OFDM) modulation scheme. The resulting signal can be used to improve accuracy and precision in distance estimation using a reduced signal bandwidth. The system was modeled considering either an additive white noise Gaussian channel and a moderate multipath model. The simulation results demonstrate that the system achieves an accuracy and a precision better than 10 cm considering SNR equal to 0 dB and signal bandwidths of only 125 MHz.
2019
Distance Estimation Algorithm for Wireless Localization Systems Based on Lyapunov Sensitivity Theory / Piccinni, Giovanni; Torelli, Francesco; Avitabile, Gianfranco. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 7:(2019), pp. 8865060.158338-8865060.158348. [10.1109/ACCESS.2019.2947015]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/192101
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