This paper describes an experimental performance validation of Fisher information-based waveform designs for channel sounding and high-resolution propagation parameter estimation. These waveform designs require prior knowledge about the parameters which can be estimated from a preceding measurement. We describe a setup to implement this intermediate parameter estimation and waveform optimization step. A subsequent performance validation via the empirical MSE derived from measurement-based Monte Carlo trials is also presented. This paper builds upon a previous simulation-based study that found that the CRB for delay estimation improves using the optimized waveforms. This finding can be reproduced for the delay MSE with the presented experiments. An additional insight is that the accuracy of the intermediate estimates does not significantly impact the MSE, as long as the SNR is sufficient to detect the required paths reliably.