Sparse Signal Bands Selection for Precise Time-based Ranging in Terrestrial Positioning

• Published in: 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS) pp. 1372 - 1380
• Main Authors: Dun, Han, Tiberius, Christian C. J. M., Diouf, Cherif, Janssen, Gerard J. M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2020
• Subjects: convex optimization; Cramér-Rao lower bound; multipath channel; OFDM; ranging; time delay estimation
• ISSN: 2153-3598
• DOI: 10.1109/PLANS46316.2020.9110197

Time-based ranging accuracy is inversely proportional to the signal bandwidth. A larger the signal bandwidth leads to a higher accuracy of time delay estimation, but more complex hardware is needed. Alternatively, we explore the idea of using multiple narrow signal bands (e.g., 10 MHz of each) to create a large virtual signal bandwidth, which maintains the spectral efficiency but largely improves the ranging accuracy. Considering the impact of multipath, the propagation delay of the LoS path is computed from the estimated channel impulse response (CIR). In this paper, we propose an approach to sparsely select signal bands for ranging and positioning based on convex optimization. The Cramér-Rao lower bound (CRLB) for the propagation delay and gain estimators, as a performance criterion, is employed in the constraint of the optimization. The CRLB is derived in a two-path channel, so that the accuracy and the correlation between the LoS path and the reflection are taken into account. Experiments are conducted in a laboratory environment to illustrate the proposed signal design methodology dedicated for ranging with a sub-decimeter accuracy.