Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar
Paper in proceedings, 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.

IQI

FMCW automotive radar

Hardware impairments

additive noise modeling

phase noise

constant false alarm rate

Author

Mohammad Hossein Moghaddam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Sina Rezaei Aghdam

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

Alessio Filippi

NXP Semiconductors Netherlands

Thomas Eriksson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Communication Systems

2020 IEEE Radar Conference (RadarConf20)

2375-5318 (ISSN)

1-6

IEEE Radar Conference
Florence, Italy,

Silicon-based Ka-band massive MIMO antenna systems for new telecommunication services (SILIKA)

European Commission (EC), 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

More information

Latest update

3/8/2021 7