A Low-Resolution ADC Proof-of-Concept Development for a Fully-Digital Millimeter-wave Joint Communication-Radar

Kumari, Preeti; Mezghani, Amine; Heath, Robert W.

doi:10.1109/icassp40776.2020.9054740

Cited by 19 publications

(13 citation statements)

References 16 publications

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“…9(c) and (d)) has been used to improve the resolution would improve the resolution without increasing the complexity much. In our conference version [22], however, we have compared the traditional FFTbased algorithm and the one-stage advanced GAMP technique for a similar single-target scenario, where the target was placed quite far from the boresight. The radar image estimated using 1-bit ADC emulation and GAMP processing detected the wall and the target without any false detection and has reduced sidelobes than the FFT-based processing approach.…”

Section: Resultsmentioning

confidence: 99%

“…This paper is a significant extension of our submitted conference papers [21], [22]. In addition to the detailed exposition, we have included multiple point target and extended target results, outdoor testing, JCR performance using b-bit ADCs, and comparison with traditional radars to demonstrate and evaluate the performance of our testbed.…”

Section: Introductionmentioning

confidence: 99%

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JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Kumari

Mezghani

Heath

2021

IEEE Open J. Veh. Technol.

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A fully-digital wideband joint communication-radar (JCR) with a single-input-multiple-output (SIMO) architecture at the millimeter-wave (mmWave) band will enable high joint communication and radar performance with enhanced design flexibility. A quantized receiver with few-bit analog-to-digital converters (ADCs) will enable a practical JCR solution with reduced power consumption for futuristic portable devices and autonomous vehicles. In this paper, we present a joint communicationradar proof-of-concept platform, named JCR70, to evaluate and demonstrate the performance of these JCR systems using real channel measurements in the 71-76 GHz band. We develop this platform by extending a mmWave communication set-up with an additional full-duplex radar receiver and by capturing the SIMO JCR channel using a moving antenna on a sliding rail. To characterize the JCR performance of our developed testbed, we conduct several indoor and outdoor experiments and apply traditional as well as advanced processing algorithms on the measured data. The experimental results show that the quantized receiver with 2-4 bit ADCs generally performs quite close to the high-resolution ADC for a signal-to-noise ratio of up to 5 dB. Additionally, we compare the performance of our JCR70 platform with the INRAS Radarbook, which is a state-of-the-art automotive radar evaluation platform at 77 GHz.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Kumari

Mezghani

Heath

2021

IEEE Open J. Veh. Technol.

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“…We assume 180 • FoV, the recipient vehicle distance d c = 100 m, the preamble building block size of 512 symbols, and a coherent processing interval of 5 ms. Typically near-field effects start ceasing farther away than a few wavelengths of the antenna, as seen in automotive radar field experiments [51], [57], [58]. Therefore, we simulate target ranges above 5 m for evaluating the performance of short-range and mediumrange radars.…”

Section: Numerical Resultsmentioning

confidence: 99%

Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar

Kumari

Myers

Heath

2021

IEEE J. Sel. Top. Signal Process.

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Millimeter-wave (mmWave) joint communicationradar (JCR) will enable high data rate communication and highresolution radar sensing for applications such as autonomous driving. Prior JCR systems that are based on the mmWave communications hardware, however, suffer from a limited angular field-of-view and low estimation accuracy for radars due to the employed directional communication beam. In this paper, we propose an adaptive and fast combined waveform-beamforming design for the mmWave automotive JCR with a phased-array architecture that permits a trade-off between communication and radar performances. To rapidly estimate the mmWave automotive radar channel in the Doppler-angle domain with a wide field-of-view, our JCR design employs circulant shifts of the transmit beamformer to acquire radar channel measurements and uses two-dimensional compressed sensing (CS) in the spacetime dimension. We optimize these circulant shifts to minimize the coherence of the CS matrix, under the space-time sampling constraints in our problem. We evaluate the JCR performance trade-offs using a normalized mean square error (MSE) metric for radar estimation and a distortion MSE metric for data communication, which is analogous to the distortion metric in the rate-distortion theory. Additionally, we develop a MSEbased weighted average optimization problem for the adaptive JCR combined waveform-beamforming design. Numerical results demonstrate that our proposed JCR design enables the estimation of short-and medium-range radar channels in the Doppler-angle domain with a low normalized MSE, at the expense of a small degradation in the communication distortion MSE.

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“…From (56) and (57), it follows that for the special case of a 1-bit ADC, the equivalent transfer and energy function are equal to,…”

Section: One-bit Adc Casementioning

confidence: 99%

“…Other works propose different methods of data reception [32]- [44] and channel estimation [45]- [53], taking into account limited ADC resolution. Lately, MIMO radar with lowresolution ADC has attracted research attention [56]- [57]. Separately, massive MIMO transmitters employing lowresolution DACs have emerged as an active area of investigation.…”

Section: Introductionmentioning

confidence: 99%

New Equivalent Model of a Quantizer With Noisy Input and Its Applications for MIMO System Analysis and Design

Molev-Shteiman

Mailander

et al. 2020

IEEE Access

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We propose a novel equivalent model for a quantizer with noisy input (the desired signal corrupted by measurement noise). It presents the quantizer output as a sum of the desired signal after it passes through a nonlinear element with a known equivalent transfer function and an equivalent additive white noise. The equivalent transfer function takes the form of a conditional expectation of the quantizer output given the desired signal portion of its input. The proposed model proves to be effective for the analysis and design of MIMO systems employing low-resolution quantizers (analog to digital and digital to analog converters, ADCs and DACs, respectively). We also demonstrate the efficacy of the model through several example applications for 1) the design of digital dither that mitigates the effect of DAC quantization error in a MIMO transmitter and significantly reduces the DAC resolution requirement; 2) the determination of the minimal ADC resolution required for operation of conventional MIMO receivers designed for infinite-resolution ADC arrays, without incurring significant performance degradation; and 3) the design of simple MIMO receivers (ML and MMSE) that mitigate the effect of insufficient ADC resolution, thereby extending the receiver SNR operating range without an undue complexity increase.

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A Low-Resolution ADC Proof-of-Concept Development for a Fully-Digital Millimeter-wave Joint Communication-Radar

Cited by 19 publications

References 16 publications

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for a Fully-Digital SIMO Joint Communication-Radar

Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar

New Equivalent Model of a Quantizer With Noisy Input and Its Applications for MIMO System Analysis and Design

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