A rugged method for distance estimation based on an OFDM signal combined with the Zadoff-Chu sequences is introduced. A software algorithm extracts a coarse distance in time domain exploiting the Zadoff-Chu properties. The distance, then, is fine adjusted evaluating the time offset from the subcarriers phase. Several tests were performed in laboratory considering a very harsh indoor environment and using a pair of Right-Hand circularly polarized helical antennas in order to demonstrate the technique effectiveness. The system is able to estimate the distance with a very good level of precision and accuracy with only 50 MHz of signal bandwidth. In fact, the results show a maximum error of 1.23 cm, in distance estimation, and a maximum standard deviation of 0.8 cm. The proposed technique can be used in the implementation of indoor positioning systems.
Narrowband distance evaluation technique for indoor positioning systems based on Zadoff-Chu sequences / Piccinni, G.; Avitabile, G.; Coviello, G.. - (2017), pp. 624-628. (Intervento presentato al convegno Wireless and Mobile Computing, Networking and Communications, WiMob tenutosi a Roma, Italy nel October 9-11, 2017) [10.1109/WiMOB.2017.8115766].
Narrowband distance evaluation technique for indoor positioning systems based on Zadoff-Chu sequences
Piccinni, G.;Avitabile, G.;Coviello, G.
2017-01-01
Abstract
A rugged method for distance estimation based on an OFDM signal combined with the Zadoff-Chu sequences is introduced. A software algorithm extracts a coarse distance in time domain exploiting the Zadoff-Chu properties. The distance, then, is fine adjusted evaluating the time offset from the subcarriers phase. Several tests were performed in laboratory considering a very harsh indoor environment and using a pair of Right-Hand circularly polarized helical antennas in order to demonstrate the technique effectiveness. The system is able to estimate the distance with a very good level of precision and accuracy with only 50 MHz of signal bandwidth. In fact, the results show a maximum error of 1.23 cm, in distance estimation, and a maximum standard deviation of 0.8 cm. The proposed technique can be used in the implementation of indoor positioning systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
