Abstract
This publication proposes a parametric data model and a gradient-based
maximum likelihood estimator suitable for the description of
delay-dispersive responses of multiple dynamic UWB-radar targets. The
target responses are estimated jointly with the global target parameters
range and velocity.
The large relative bandwidth of UWB has consequences for model-based
parameter estimation. On the one hand, the Doppler effect leads to a
dispersive response in the Doppler spectrum and to a coupling of the
target parameters which both need to be considered during modeling and
estimation. On the other hand, the shape of an extended target results
in a dispersive response in range which can be resolved by the radar
resolution. We consider this extended response as a parameter of
interest, e.g., for the purpose of target recognition. Hence, we propose
an efficient description and estimation of it by an FIR structure only
imposing a restriction on the target’s dispersiveness in range.
We evaluate the approach on simulations, compare it to state of the art
solutions and provide a validation on measurement data.