Localizing an Unknown Number of mmW Transmitters Under Path Loss Model Uncertainties
For wireless communication systems, this provides a method to localize transmitters under realistic model uncertainties, though results are limited to noise-free simulations.
This work estimates the positions and transmit powers of multiple co-channel mmW transmitters under path loss model uncertainties, including unknown target number and weather-dependent parameters. The proposed l1-regularized convex estimator achieves very high accuracy in simulations without noise or shadowing.
This work estimates the position and the transmit power of multiple co-channel wireless transmitters under model uncertainties. The model uncertainties include the number of the targets and the parameters of the path-loss model which enable the system to cope with changes in the weather conditions and in mmW ranges. The problem is solved by an unbiased estimator. The underlying complicated optimization problem has a combinatorial nature that selects the best grid points as the location of the targets. The combinatorial problem is converted to a convex form by means of l1-regularization, which enables locating off-grid targets. Simulations show that the proposed algorithm solves the problem with very high accuracy in the absence of noise and shadowing.