Direction of Arrival Estimation with Virtual Antenna Array Using FMCW Radar Simulated Data

Fuente: arXiv
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Main Authors: Kurtoglu, Emre, Rahman, Mohammad Mahbubur
Format: Preprint
Published: 2025
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author Kurtoglu, Emre
Rahman, Mohammad Mahbubur
author_facet Kurtoglu, Emre
Rahman, Mohammad Mahbubur
contents The FMCW radars are widely used for automotive radar systems. The basic idea for FMCW radars is to generate a linear frequency ramp as transmit signal. The difference frequency, (i.e., beat frequency) between the transmitted and received signal is determined after down conversion. The FFT operation on beat frequency signal can recognize targets at different range and velocity. Increasing demand on safety functionality leads to the Direction of Arrival (DOA) estimation to resolve two closely located targets. Consequently, the problem of angle estimation for 77GHz FMCW automotive radar simulated data has been investigated in this term project. In particular, we examined the performances of FFT, MUSIC and compressed sensing in angle estimation task, and it was found that although FFT is the fastest algorithm, it has very poor angular resolution when compared with others which are both super resolution algorithms. The code for this project report is available at https://github.com/ekurtgl/FMCW-MIMO-Radar-Simulation.
format Preprint
id arxiv_https___arxiv_org_abs_2508_07513
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Direction of Arrival Estimation with Virtual Antenna Array Using FMCW Radar Simulated Data
Kurtoglu, Emre
Rahman, Mohammad Mahbubur
Signal Processing
The FMCW radars are widely used for automotive radar systems. The basic idea for FMCW radars is to generate a linear frequency ramp as transmit signal. The difference frequency, (i.e., beat frequency) between the transmitted and received signal is determined after down conversion. The FFT operation on beat frequency signal can recognize targets at different range and velocity. Increasing demand on safety functionality leads to the Direction of Arrival (DOA) estimation to resolve two closely located targets. Consequently, the problem of angle estimation for 77GHz FMCW automotive radar simulated data has been investigated in this term project. In particular, we examined the performances of FFT, MUSIC and compressed sensing in angle estimation task, and it was found that although FFT is the fastest algorithm, it has very poor angular resolution when compared with others which are both super resolution algorithms. The code for this project report is available at https://github.com/ekurtgl/FMCW-MIMO-Radar-Simulation.
title Direction of Arrival Estimation with Virtual Antenna Array Using FMCW Radar Simulated Data
topic Signal Processing
url https://arxiv.org/abs/2508.07513