In this letter, we investigate the performance degradation of the RSS-based simultaneous position and orientation (SPO) estimation algorithm for multiple LEDs—multiple photodiodes (PDs) (MLMP) systems due to the non-line-of-sight (NLOS)… Click to show full abstract
In this letter, we investigate the performance degradation of the RSS-based simultaneous position and orientation (SPO) estimation algorithm for multiple LEDs—multiple photodiodes (PDs) (MLMP) systems due to the non-line-of-sight (NLOS) channel and power uncertainty. Since most state-of-the-art SPO estimators assume that the channel is NLOS-free and that the system is finely calibrated so that the transmit power is accurately known, they will achieve a degraded performance in the presence of the NLOS channel and power uncertainty. In order to assess the performance of state-of-the-art SPO estimators subject to the NLOS channel and power uncertainty, the theoretical lower bound on the mean squared error (MSE), i.e., the misspecified Cramér-Rao bound (MCRB), is derived. Computer simulations show that the derived theoretical lower bound correctly indicates the performance of the estimator.
               
Click one of the above tabs to view related content.