Design and implementation of a data processor for a ubiquitous FMCW radar demonstrator

García Martín, Rubén (2018). Design and implementation of a data processor for a ubiquitous FMCW radar demonstrator. Thesis (Master thesis), E.T.S.I. Telecomunicación (UPM).


Title: Design and implementation of a data processor for a ubiquitous FMCW radar demonstrator
  • García Martín, Rubén
  • Duque de Quevedo, Álvaro
Item Type: Thesis (Master thesis)
Masters title: Ingeniería de Telecomunicación
Date: 2018
Freetext Keywords: Tracker, tracking algorithm, radar data processor, ubiquitous radar, persistent radar, association, plots, tracks, targets, target tracking, targets detection.
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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This project details the design and implementation of an offline data processor for a radar system in order to track targets that have been detected. It associates the detections in tracks that belong to the targets in the scene. Additionally a script to simulate targets has been implemented and used to train and test the tracker developed. This tracker is developed for a ubiquitous radar demonstrator (RAD-DAR), which is in its field test stage. The demonstrator has been designed and developed by the Microwave and Radar Research Group (GMR), taking over all the stages of hardware and software design. The radar system consists of a frequency modulated continuous waveform (FMCW) ubiquitous radar that works at X-Band (8.75 GHz). The results of the first stages have already been presented in several national and international conferences for the last two years [1], [2]. The radar demonstrator uses one transmitting antenna and eight receiving antennas in order to cover the whole are to survey. Afterwards, in the post-processing of the recorded scene, beamforming and monopulse techniques are performed in order to point the beam of the receiver towards the area of interest. Also a 2D-FFT processing is carried out to obtain the information of range and speed of the targets. The algorithm has been tested on data from simulated scenarios and field-test scenarios. The field tests consist in scenes with a commercial drone in controlled flights and a scene with vehicles in a highway 2.5 km away from the radar. The tests obtained show positive results because in the scene with cars it is able to separate the cars into tracks (probed at plain sight, since GPS data was not available), additionally have been compared in the case of the drone to real GPS data of the target. The first stage of this project included the familiarization with the developed radar demonstrator and with the format of the data obtained from the demonstrator. Additionally, this initial stage implied the search of bibliography and the apprenticeship of the concepts related with tracking algorithms. Then, a plot simulator was developed. This simulator can generate simple trajectories such as straight path, circular or racecourse. Additionally a simulation of the radar measurement error (in distance, speed and azimuth) is included. It can also simulate the performance of false alarm probability and detection probability. Next, the development of the tracker was carried out, using the plot simulator for training and testing the algorithm. And finally, it was used and tested with real data obtained in field-test scenarios. The tracker shows the great range-speed association capacity of the developed radar system demonstrator, which allows us to simplify the association algorithm. This Master Thesis presents the implementation of an offline tracking algorithm and the results obtained from its test on both simulated and field test obtained data.

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Item ID: 53018
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Deposited by: Biblioteca ETSI Telecomunicación
Deposited on: 15 Nov 2018 09:16
Last Modified: 15 Nov 2018 09:16
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