Abstract / truncated to 115 words (read the full abstract)

This PhD thesis considers the problem of locating some target nodes in different wireless infrastructures such as wireless cellular radio networks and wireless sensor networks. To be as realistic as possible, mixed line-of-sight and non-line-of-sight (LOS/NLOS) localization environment is introduced. Both the conventional non-cooperative localization and the new emerging cooperative localization have been studied thoroughly. Owing to the random nature of the measurements, probabilistic methods are more advanced as compared to the old-fashioned geometric methods. The gist behind the probabilistic methods is to infer the unknown positions of the target nodes in an estimation process, given a set of noisy position related measurements, a probabilistic measurement model, and a few known reference positions. In contrast ... toggle 8 keywords

localization – gaussian mixture – incomplete measurement error statistics – maximum likelihood criterion – mixed line-of-sight and non-line-of-sight (los/nlos) – robust methods – wireless cellular radio network – wireless sensor network

Follow @eurasip