Impact of ADC clipping and quantization on phase-modulated 79 GHz CMOS radar

Thillo, Wim Van; Giannini, Vito; Guermandi, Davide; Brebels, S.; Bourdoux, André

doi:10.1109/eurad.2014.6991263

Cited by 21 publications

(10 citation statements)

References 2 publications

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“…leads to a large integration gain. The authors of [48] use this fact to reduce the ADC resolution to only 4 bits what reduces the data rate significantly. They show that their sensor is still able to detect pedestrians at a distance of 30 m. The correlation can also be done in the analog domain with time-delayed versions of the code sequence for all range cells one after another [49][50][51][52].…”

Section: Wave Radarmentioning

confidence: 99%

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

145

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Section: Wave Radarmentioning

confidence: 99%

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

145

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“…When it comes to automotive radars, one of the main issues is the increasing number of vehicles equipped with these radars, threatening to saturate the band [4]. Many waveforms have been explored as substitutes to the current one such as orthogonal frequency division multiplexing (OFDM).…”

Section: Introductionmentioning

confidence: 99%

“…The metrics used to compare these two filters are the peak to side lobe ratio (PSLR) and the integrated side lobe ratio (ISLR). These metrics are both crucial in automotive applications [4]. A high side lobe might result in a false alarm, causing the vehicle to brake for no reason.…”

Section: Introductionmentioning

confidence: 99%

MF, ZF, and MMSE filters for automotive OFDM radar

Benmeziane,

Baudais,

Méric

et al. 2023

Int. J. Microw. Wireless Technol.

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The delay estimation for orthogonal frequency division multiplexing automotive radars can be achieved through the use of different filters. This paper compares two of these filters, namely the matched filter and the zero forcing filter through two metrics, which are the peak to side lobe ratio and the integrated side lobe ratio estimated on their range profiles. The analysis is then extended to the minimum mean squared error filter.

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“…The ''dynamic range first'' approach is so common that many engineers are, in fact, surprised to learn about entire application spaces that operate using only a few -or even just one -ADC bit. Examples of specialized wireless systems based on few bit ADCs include global positioning system (GPS) receivers [3]- [6]; radio astronomy [7], [8]; pulse Doppler radar [9]- [14], noise radar [15], [16], and next generation automotive radar [17]; low power [18]- [22], ultrawideband [23], [24], and impulse [25]- [29] communi-FIGURE 1. Illustration of available ADC performance in terms of power consumption, sampling bandwidth (BW), and SNDR dynamic range for all ADCs published in [1] and [2] from 1997-2018.…”

Section: Introductionmentioning

confidence: 99%

When Less Is More$\ldots$ Few Bit ADCs in RF Systems

Rodenbeck¹,

Martinez

Beun³

et al. 2019

IEEE Access

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Digitizing RF signals using few bit ADCs can provide system advantages in terms of reduced power dissipation, wider sampling bandwidth, and decreased demand for digital throughput. The diversity of established applications based on few bit ADCs, together with the recent surge of interest in the topic for 5G wireless communications and millimeter-wave radar, has created a need for practical design guidance governing their use in general RF systems. This paper, therefore, summarizes the state-of-the-art in few bit ADCs, comparing the dynamic range considerations involved with those of conventional RF receiver design. A simple analytic model for the monobit ADC is extended to multiple bits. Parametric analysis, independent of sampling considerations and system-specific signal processing, is used to illustrate the variation in the ADC output signal-to-noise-and-distortion ratio (SNDR) versus both the number of quantization bits and the input signal-to-noise ratio (SNR). At low and negative input SNR, increasing ADC resolution beyond 3-4 bits yields little advantage in output SNDR. Experiment confirms analytic predictions for the specific conditions under which the loss of signal fidelity due to quantization can be made negligible. In addition, parametric analysis of two-tone intermodulation distortion shows clear disadvantages to quantizing with <4 bits in the presence of strong blockers. The results reported in this paper, which are general and independent of system application, can be used to customize the number of ADC bits in an RF system based on system-specific performance requirements for receiver dynamic range. INDEX TERMS Analog-to-digital converters (ADCs), 5G, low resolution ADCs, quantization, coherent receivers, radiofrequency integrated circuits, wireless communications, radar.

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Impact of ADC clipping and quantization on phase-modulated 79 GHz CMOS radar

Cited by 21 publications

References 2 publications

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

MF, ZF, and MMSE filters for automotive OFDM radar

When Less Is More$\ldots$ Few Bit ADCs in RF Systems

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