Stephan Häfner1, Matthias Röding1, Gerd Sommerkorn1, Robert Müller1, Reiner S. Thomä, Giovanni Del Galdo, Jan Goerlich2
12:10 - 14:20 | Fri 16 Mar | ID 04/445 | P02-14
An estimator to infer parameters from radar measurements is presented, applicable for further detection and localisation of unmanned aircraft systems. The problem of parameter estimation is presented as an inverse problem, necessitating a model of the radar data. Based on the specified data model a maximum-likelihood based objective function for parameter estimation is derived. The objective function is minimised by a framework similar to the RIMAX framework, including joint parameter and model order estimation. A SIMO radar system is presented and employed to test and demonstrate the estimators capability in simulations as well as test measurements.