Noise radar detection optimized for selected targets

This paper presents a technique for detection of selected targets in the context of ultrawideband noise radar. The technique applies to scenarios where targets can be modeled as having a few predominant scatterers, such as some made man-made targets. The basic idea is to change the signal used as reference for detection in such a way that it is adapted to the predominant scatterers of the targets. When compared with another recently published technique the obtained detection gains are similar. However, in contrast to that, the proposed technique shows the additional advantage that the received data is still useful for further processing.