The impact of phase noise parameters on target signal detection in FMCW-radar system simulations for automotive applications

Dudek, Manuel; Nasr, I.; Kissinger, Dietmar; Weigel, Robert; Fischer, Georg

doi:10.1109/cie-radar.2011.6159587

Cited by 22 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since all the technological knowledge is available at the sensor supplier’s site, simulations of any sensor part down to the semiconductor components can be carried out. Examples include ray tracing (RT) and any time-domain electromagnetic wave simulation-based modelling techniques can be found in [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. The advantages of ray tracing is that each path taken by a virtual ray can be computed individually, resulting in a high-fidelity simulation, but at the cost of increased hardware requirements.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development

Magosi

Eichberger

2023

Sensors

View full text Add to dashboard Cite

Despite the progress in driving automation, the market introduction of higher-level automation has not yet been achieved. One of the main reasons for this is the effort in safety validation to prove functional safety to the customer. However, virtual testing may compromise this challenge, but the modelling of machine perception and proving its validity has not been solved completely. The present research focuses on a novel modelling approach for automotive radar sensors. Due to the complex high-frequency physics of radars, sensor models for vehicle development are challenging. The presented approach employs a semi-physical modelling approach based on experiments. The selected commercial automotive radar was applied in on-road tests where the ground truth was recorded with a precise measurement system installed in ego and target vehicles. High-frequency phenomena were observed and reproduced in the model on the one hand by using physically based equations such as antenna characteristics and the radar equation. On the other hand, high-frequency effects were statistically modelled using adequate error models derived from the measurements. The model was evaluated with performance metrics developed in previous works and compared to a commercial radar sensor model. Results show that, while keeping real-time performance necessary for X-in-the-loop applications, the model is able to achieve a remarkable fidelity as assessed by probability density functions of the radar point clouds and using the Jensen–Shannon divergence. The model delivers values of radar cross-section for the radar point clouds that correlate well with measurements comparable with the Euro NCAP Global Vehicle Target Validation process. The model outperforms a comparable commercial sensor model.

show abstract

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development

Magosi

Eichberger

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Using a frequency multiplier can also benefit the system in terms of phase noise, an important metric of FMCW radars. Phase noise can lead to a loss of range resolution due to a broader spectrum of the beat signal [22]. mm-Wave CMOS VCOs suffer from significant phase noise and using a lower frequency VCO outside the chip and multiplying it can result in superior performance if the multiplication ratio is not too big [23].…”

Section: Transmitter Architecture and Motivationmentioning

confidence: 99%

A 90-98 GHz CMOS Transmitter Frontend for Concurrent Phase-Coded FMCW Radar Applications

Elazar

Socher

2022

IEEE J. Microw.

View full text Add to dashboard Cite

A 90-98 GHz transmitter frontend fabricated in TSMC 65-nm bulk CMOS, capable of concurrent radar-communications applications is presented. A transmitter is proposed that can be used for phase-coded frequency-modulated continuous wave (PC-FMCW) radar as well as for data transmission and interference mitigation. The transmitter architecture is based on an 8-12 GHz IF and ×8 frequency multiplication of a 10-11 GHz local oscillator (LO). Vector IQ summation provides amplitude and phase control, followed by an output power amplifier. Two X-band inputs make the transmitter attractive for a concurrent radar-communication systems as one input is frequency multiplied ×8 while the other is not, allowing upconverting modulated X-band signals. The transmitter achieves full IQ plane control, capable of supporting high-resolution beam steering with P SAT of 13.7 dBm at 94 GHz. The transmitter consumes 320 mW from a 1.2 V supply (V DD ) and occupies 0.2 mm 2 core area. The transmitter also presents excellent spectral purity with >30 dB harmonic rejection and a conversion gain of 28 dB.

show abstract

“…The impact of PN on the spatial resolution due to variations of signal-to-noise ratio (SNR) and induced limitation on the maximum range estimation is shown in [8]. Authors in [9], explain the range resolution sensitivity in terms of broadened object peak due to deterioration of the PN characteristic. In [10], the authors showed that there may be an additional distortion, caused by the transient response of the phase locked loop, resulting in deviations in sinusoidal nonlinearities in the chirp signal referred to as spurious oscillations (spurs).…”

Section: Introductionmentioning

confidence: 99%

Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar

Moghaddam

Aghdam

Filippi

et al. 2020

2020 IEEE Radar Conference (RadarConf20)

View full text Add to dashboard Cite

The impact of phase noise parameters on target signal detection in FMCW-radar system simulations for automotive applications

Cited by 22 publications

References 5 publications

A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development

A Novel Approach for Simulation of Automotive Radar Sensors Designed for Systematic Support of Vehicle Development

A 90-98 GHz CMOS Transmitter Frontend for Concurrent Phase-Coded FMCW Radar Applications

Statistical Study of Hardware Impairments Effect on mmWave 77 GHz FMCW Automotive Radar

Contact Info

Product

Resources

About