Leakage Cancellation in Coded Automotive Radar
J. Zaidouni, Pascal Deloof, Atika Rivenq, Smaïl Niar, Jean-Michel Rouvaen · 2008
Abstract This paper concerns the study of automotive anticollision radar. It especially describes the leakage problem observed as undesired peaks in the correlation function. To resolve it, we propose a solution called Adaptive Leakage Cancellation (ALC)based on using of adaptive lter in order to identify the unknown echo path caused by the leakage. The output of this lter estimates the leakage signal that is subtracted from the received signal to let only the echos provided from targets. For comparison porposes we have considered three algorithms LMS (Least Mean Square), RLS (Recursive Least Square) and APA (A ne Projection Algorithm)to update the adaptive lter coe cient vector. The LMS algorithm is considered as an interesting algorithm due to its simplicity and the good leakage cancellation.