Contribution to Drone Detection by Exploiting Parameter Estimation for a Prototype mm-Wave Radar System

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 measurement data. Based on the data model, a maximum-likelihood based objective function 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 with flying UASs.