Comparison of ZF and MF filters through PSLR and ISLR assessment in automotive OFDM radar

Autor:	Bochra Benmeziane, Jean-Yves Baudais, Stephane MERIC, Kevin Cinglant
Přispěvatelé:	Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), ZF Autocruise
Předmět:	radar signal processing matched filters [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing zero forcing OFDM
Zdroj:	HAL European radar conference European radar conference, Apr 2022, Excel, United Kingdom
Popis:	International audience; Many filtering strategies can be applied to estimate target position along the range profile in orthogonal frequency-division multiplexing radar. Chief among these filters are the matched filter (MF) and the zero forcing (ZF) method. For each technique, this paper compares the impact on the peak to side lobe ratio (PSLR) and the integrated side lobe ratio (ISLR). The results show that ZF scores higher than MF with respect to PSLR and ISLR in low-noise environments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ec9cadbd950ab598d0f1be11fff46e https://hal.archives-ouvertes.fr/hal-03637251 Zobrazit plný text záznamu