System for Automatic Detection and Analysis of Targets in FMICW Radar Signal

Author:

Rejfek Luboš1,Mošna Zbyšek1,Urbář Jaroslav1,Koucká Knížová Petra1

Affiliation:

1. Department of Aeronomy, Institute of Atmospheric Physics CAS, Prague 4, Czech Republic

Abstract

Abstract This paper presents the automatic system for the processing of the signals from the frequency modulated interrupted continuous wave (FMICW) radar and describes methods for the primary signal processing. Further, we present methods for the detection of the targets in strong noise. These methods are tested both on the real and simulated signals. The real signals were measured using the developed at the IAP CAS experimental prototype of FMICW radar with operational frequency 35.4 GHz. The measurement campaign took place at the TU Delft, the Netherlands. The obtained results were used for development of the system for the automatic detection and analysis of the targets measured by the FMICW radar.

Publisher

Walter de Gruyter GmbH

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1. Multi-Target Detection in FMICW Radar Using Machine Learning;The Journal of Korean Institute of Electromagnetic Engineering and Science;2023-07

2. Multi-Target Detection in FMICW Radar Using Machine Learning;The Journal of Korean Institute of Electromagnetic Engineering and Science;2023-07

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