Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments
2013 (English)In: Proc. of 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013, 6471-6475 p.Conference paper (Refereed)
We consider received-signal-strength-based robust geolocation in mixed line-of-sight/non-line-of-sight propagation environments. Herein, we assume a mode-dependent propagation model with unknown parameters. We propose to jointly estimate the geographical coordinates and propagation model parameters. In order to approximate the maximum-likelihood estimator (MLE), we develop an iterative algorithm based on the well-known expectation and maximization criterion. As compared to the standard ML implementation, the proposed algorithm is simpler to implement and capable of reproducing the MLE. Simulation results show that the proposed algorithm attains the best geolocation accuracy as the number of measurements increases.
Place, publisher, year, edition, pages
2013. 6471-6475 p.
Expectation-maximization (EM) criterion, geolocation, line-of-sight (LOS)/non-line-of-sight (NLOS), received signal-strength (RSS)
Signal Processing Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-123714DOI: 10.1109/ICASSP.2013.6638912OAI: oai:DiVA.org:liu-123714DiVA: diva2:892440
2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, BC, Canada, 26-31 May, 2013