Title :
Two-Way Range Estimation Utilizing Uplink and Downlink Channels Dependency
Author :
Bialer, Oded ; Raphaeli, Dan ; Weiss, Anthony J.
Author_Institution :
Tel Aviv Univ., Ramat HaSharon, Israel
Abstract :
Range estimation between a base station (BS) and target that are unsynchronized in time is obtained by two-way ranging where both sides are transmitting and receiving. In the conventional two-way range estimation approach, the time of arrivals at BS and target are estimated separately and thus correlation between the uplink and downlink channels is ignored. In this paper, we develop a maximum likelihood range estimator, in multipath conditions, where the received signals distribution is approximated as Gaussian and the time of arrivals at BS and target are jointly estimated. The estimator is convenient for implementation and utilizes the uplink and downlink statistical dependency and, hence, obtains a performance advantage over the conventional suboptimal approach. An analytical analysis of the estimator is also developed, which is used to gain insight on the estimator performance.
Keywords :
Gaussian distribution; distance measurement; maximum likelihood estimation; radio links; time-of-arrival estimation; Gaussian distribution; base station; downlink channel dependency; maximum likelihood range estimator; multipath condition; time of arrival estimation; two way range estimation; uplink channel dependency; Bandwidth; Clocks; Distance measurement; Downlink; Estimation; Multipath channels; Uplink; Two-way ranging; location estimation; multipath; round trip delay (RTD); round trip time (RTT); time of arrival (TOA);
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2014.2301976