Visible Light Positioning in the Presence of Malicious LED Transmitters

We consider a visible light positioning system in which receiver performs position estimation based on signals emitted from number of emitting diode (LED) transmitters. Each LED transmitter can be malicious and transmit at an unknown power level with certain probability. A maximum likelihood (ML) estimator is derived the knowledge probabilities that transmitters malicious. In addition, presence training measurements, decision rules are designed for detection transmitters, results, various ML location estimators proposed. To evaluate performance proposed estimators, Cramér-Rao lower bounds (CRLBs) scenarios without phase. Moreover, when unknown. The performances all evaluated via numerical examples compared against CRLBs.