A comparison between the classical pulse compression and the improved WV-SMF-PC on ifremer sea trials signals

In several domains of engineering technologies, such as telecommunications, sonar imaging, positioning systems, radar, medical imaging, the main problem is to identify a transmitted useful pulse in a noise-corrupted received signal. A solution to this problem consists in using a modulated pulse for emission and a matched filter for reception. Such a concept is known as pulse compression. Taking into account the main assumptions of the matched filter theory, it has been proposed a new algorithm, the Wigner Ville - Stochastic Matched Filter - Pulse Compression (WV-SMF-PC). This one considers the random nature of the signal and the coloration of the noise, and is based on the jointly used of Time Frequency techniques and a stochastic extension of the Matched Filter notion: the Stochastic Matched Filter. However, some new sea trials have pointed out two main problems linked, on the one hand, to the noise power estimation and, on the other hand, to the real time compatibility. In this article, we propose and discuss a solution to these two problems exploiting informations given by the time frequency domain and we propose a complementary technique to reach the real time. Finally, some results obtained on real data are given.