Low Resolution Millimeter Wave Radar: Bounds and Performance

Mazher, Khurram Usman; Mezghani, Amine; Heath, Robert W.

doi:10.1109/acssc.2018.8645394

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…In [17], timevarying thresholds and 1 -norm minimization was proposed for a single-input-single-output radar with 1-bit ADC. To realize a fully-digital wideband mmWave SIMO JCR, [6], [18] proposed the use of high-speed, low-resolution ADCs receivers. The Cramér Rao bounds demonstrated that the radars with 1-bit ADC perform closely to the infinite-bit ADC for a single-target scenario at low signal-to-noise ratio (SNR) [6], [18].…”

Section: Introductionmentioning

confidence: 99%

“…To realize a fully-digital wideband mmWave SIMO JCR, [6], [18] proposed the use of high-speed, low-resolution ADCs receivers. The Cramér Rao bounds demonstrated that the radars with 1-bit ADC perform closely to the infinite-bit ADC for a single-target scenario at low signal-to-noise ratio (SNR) [6], [18]. A fully-digital mmWave SIMO JCR proofof-concept platform with high-speed, low-resolution ADCs, however, is unavailable.…”

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: Introductionmentioning

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 concluded that the proposed architecture is a potential solution for joint high rate communication and high-resolution sensing and suffers a 2dB loss in terms of channel capacity for communication and parameter estimation error for radar at low SNRs. In [20], we published initial results from the detailed study carried out in this paper for a fixed spatial beamformer [1 1] T . Our new work, however, is a significant extension of [18], [20].…”

Section: Introductionmentioning

confidence: 99%

“…In [20], we published initial results from the detailed study carried out in this paper for a fixed spatial beamformer [1 1] T . Our new work, however, is a significant extension of [18], [20]. In addition to deriving the exact CRB for the 1-bit system and showing its tightness to the lower bound to Fisher information used in [18] and [20], we generalize the analog preprocessor to a [1 α] T spatial filter.…”

Section: Introductionmentioning

confidence: 99%

“…Our new work, however, is a significant extension of [18], [20]. In addition to deriving the exact CRB for the 1-bit system and showing its tightness to the lower bound to Fisher information used in [18] and [20], we generalize the analog preprocessor to a [1 α] T spatial filter. We then optimize the more general preprocessing network to achieve maximum improvement in terms of the CRB and show that the optimized preprocessor can be implemented using low-resolution phase-shifters.…”

Section: Introductionmentioning

confidence: 99%

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Improved CRB for Millimeter-Wave Radar With 1-Bit ADCs

Mazher

Mezghani

Heath

2021

IEEE Open J. Signal Process.

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Millimeter-wave is widely used for consumer radar applications like driver assistance systems in automated vehicles and gesture recognition in touch-free interfaces. To cope with the increased hardware complexity, higher costs and power consumption of wideband systems at millimeter-wave frequencies, we propose a fully digital architecture with low-resolution analog-to-digital converters (ADCs) on each radio-frequency chain. The effect of the low-resolution ADCs on radar parameter estimation is characterized by the Cramér-Rao bound (CRB) under the proposed hardware constraints. Prior work has shown that at low signal-to-noise ratio, a radar system with 1-bit ADCs suffers a performance loss of 2dB in parameter estimation compared to a system with ideal infinite resolution ADCs. In this paper, we design an analog preprocessing unit that beamforms in a particular direction and improves the system performance in terms of the achievable CRB. We optimize the proposed preprocessing architecture and show that the optimized network is realizable through low-cost low-resolution phase-shifters. With the optimized preprocessor network in the system, we reduce the gap to 1.16dB compared to a system with ideal ADCs. We demonstrate the potential of the proposed architecture to meet the requirements of high-resolution sensing through analytical derivation and numerical computation of an improved CRB and show its achievability through a correlation-based estimator.

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