Classical detection theory for sensing relies on fixed target illumination and independent identically distributed noise for target and clutter characterization. Unfortunately in many cases such as sensing and communications in urban or atmospheric scenarios, we encounter much more complex clutter and target conditions due to scattering from multiple sources. As a result we must envision a new sensing scheme to combat noise not handled by classical sensing methods. We will therefore develop framework whereby we can use the waveform to manage the physical scattering process such that our return statistics conform to the classical detection assumption such as idependent identically distributed data. We will first describe how to use a well known set of waveforms in the context of a given aperture and how these waveforms propagate when we consider the wideband multifrequency nature of the waveform. We will then show how the scattering process and the model for the interaction of the waveform with the target and the environment model occurs. Finally we will show the propagation process of the returned waveform and how we can use our waveform selection to manage the data statistics of the target and noise. Finally we will conclude with a detection example of this process.