Low Resolution Sampling for Joint Millimeter-Wave MIMO Communication-Radar

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

doi:10.1109/ssp.2018.8450774

Cited by 19 publications

(23 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Multi-functional transceivers for future intelligent transportation platforms were developed to sustain the highly mobile high-speed communication and high-resolution radar sensing [49]- [52]. Additionally, a joint mmWave MIMO radar and communication solution with low resolution analog-to-digital converters per RF chain was proposed for supporting the requirements of next-generation vehicles [53].…”

Section: Intelligent Transport Systemmentioning

confidence: 99%

Joint radar and communication: A survey

et al. 2020

View full text Add to dashboard Cite

Joint radar and communication (JRC) technology has become important for civil and military applications for decades. This paper introduces the concepts, characteristics and advantages of JRC technology, presenting the typical applications that have benefited from JRC technology currently and in the future. This paper explores the state-of-the-art of JRC in the levels of coexistence, cooperation, co-design and collaboration. Compared to previous surveys, this paper reviews the entire trends that drive the development of radar sensing and wireless communication using JRC. Specifically, we explore an open research issue on radar and communication operating with mutual benefits based on collaboration, which represents the fourth stage of JRC evolution. This paper provides useful perspectives for future researches of JRC technology.

show abstract

Section: Intelligent Transport Systemmentioning

confidence: 99%

Joint radar and communication: A survey

et al. 2020

View full text Add to dashboard Cite

show abstract

“…To mitigate these issues, we synthesize a fully-digital SIMO testbed by moving an antenna connected with a radio frequency (RF) chain and a high-speed, high-resolution analogto-digital converter (ADC) on a slider. Further improvements can be achieved by using a low quantized receiver, as proposed in our theoretical paper [6]. Therefore, we also perform a proof-of-concept evaluation for a fully-digital JCR with lowand medium-resolution ADCs by emulating quantization effect on the data collected from JCR70 testbed.…”

Section: Introductionmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…This technology provides technical assurance for many modern communication systems such as massive MIMO [1], [2] and millimetre-wave (mmWave) [3], [4]. Massive MIMO technology supports more than one hundred antennas at the base station (BS) [5], and mmWave exploits GHz spectra to support Giga-bit-per-second (Gbit/s) data transmission [6].…”

Section: Introductionmentioning

confidence: 99%

Exploring Uplink Achievable Rate for HPO MIMO Through Quasi-Monte Carlo and Variance Reduction Techniques

Gong

Zhang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

The power consumption at the receiver side will be dramatically increased in the millimetrewave and massive multiple-input-multiple-output (MIMO) communication systems due to the wide bandwidth and a large number of antennas adopted. A half phase-only MIMO (HPO MIMO) scheme, in which the base station (BS) acquires π-periodic phase measurements of the complex envelop signals was proposed very recently to overcome the above problem. Due to the non-linear nature of HPO MIMO, the valuation of the achievable rate is very challenging. The purpose of the paper is to provide an efficient method for calculating the achievable rate of the HPO MIMO system. By the mutual information theory, we transform the achievable rate into a sum of two high-dimensional integrations. However, calculating those integrations suffers from the enormous computational burden when using the traditional Monte-Carlo method. In order to increase efficiency, a new method by combining quasi-Monte Carlo with a variance reduction technique is proposed. Besides, we derive the probability density function (PDF) of the HPO MIMO system and analyze the uplink achievable rate of the HPO MIMO scheme. Numerical results show that our proposed method is efficient for calculating the achievable rate of the HPO MIMO system. With the proposed method we confirm that HPO MIMO is a promising technology in future low-power communication scenarios.

show abstract

Low Resolution Sampling for Joint Millimeter-Wave MIMO Communication-Radar

Cited by 19 publications

References 11 publications

Joint radar and communication: A survey

Joint radar and communication: A survey

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

Exploring Uplink Achievable Rate for HPO MIMO Through Quasi-Monte Carlo and Variance Reduction Techniques

Contact Info

Product

Resources

About