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.
|Titolo:||Narrowband distance evaluation technique for indoor positioning systems based on Zadoff-Chu sequences|
|Data di pubblicazione:||2017|
|Nome del convegno:||Wireless and Mobile Computing, Networking and Communications, WiMob|
|Digital Object Identifier (DOI):||10.1109/WiMOB.2017.8115766|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|