Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar
Paper in proceeding, 2020
In this paper, we analyze the effects of hardware
impairments on 77GHz FMCW automotive radar performance.
Joint in-phase/quadrature imbalance (IQI) and phase noise effects on frequency-modulated continuous-wave (FMCW) radar transceiver
front-end is modeled through statistical analysis of distortion
and noise. We derive the signal to distortion plus noise ratio,
constant false alarm rate, and range-Doppler sensitivity analysis
for both the joint and the individual effects of impairments
and validate the formulations with simulations. The represented
modeling and analysis can be used in millimeter wave (mmWave) FMCW automotive
radar signal processing algorithms for optimum transceiver
design.
impairments on 77GHz FMCW automotive radar performance.
Joint in-phase/quadrature imbalance (IQI) and phase noise effects on frequency-modulated continuous-wave (FMCW) radar transceiver
front-end is modeled through statistical analysis of distortion
and noise. We derive the signal to distortion plus noise ratio,
constant false alarm rate, and range-Doppler sensitivity analysis
for both the joint and the individual effects of impairments
and validate the formulations with simulations. The represented
modeling and analysis can be used in millimeter wave (mmWave) FMCW automotive
radar signal processing algorithms for optimum transceiver
design.
IQI
FMCW automotive radar
Hardware impairments
additive noise modeling
phase noise
constant false alarm rate
Author
Mohammad Hossein Moghaddam
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Sina Rezaei Aghdam
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Alessio Filippi
NXP Semiconductors Netherlands
Thomas Eriksson
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IEEE National Radar Conference - Proceedings
10975659 (ISSN)
Vol. 2020-September 1-69781728189420 (ISBN)
IEEE Radar Conference
Florence, Italy,
Florence, Italy,
Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)
European Commission (EC) (EC/H2020/721732), 2016-09-01 -- 2020-08-31.
Areas of Advance
Information and Communication Technology
Subject Categories
Probability Theory and Statistics
Signal Processing
Other Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1109/RadarConf2043947.2020.9266605
ISBN
9781728189420