A new wide-band noise radar signal and its compression

In this paper, we propose a wide-band noise radar signal model which is composed of a train of pulsed noise signals with their carrier frequencies increased/decreased linearly, and we call it as stepped-frequency noise signals (SFNSs). At the same time we also propose the corresponding compressing algorithm based on the compressed sensing theory. The random property of the transmitted waveform allows sampling the received radar signal at a rate far below regular required provided the targets are sparse. Numerical experiments demonstrated the proposed method can effectively reconstruct high resolution range profile at much lower sampling rate.