A 77 GHz 8RX3TX transceiver for 250 m long range automotive radar in 40 nm CMOS technology

Usugi, Tatsunori; Murakami, Tomotoshi; Utagawa, Yoshiyuki; Kishimoto, S.; Kohtani, Masato; Ando, Itaru; Matsunaga, Kazuhiro; Arai, Chihiro; Arai, Tomomi; Yamaura, Shin Ichi

doi:10.1109/rfic49505.2020.9218425

Cited by 17 publications

(5 citation statements)

References 9 publications

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“…The feasibility of 77 GHz radar transceivers in CMOS technology has been demonstrated in a variety of papers over the last years, with [54] being one of the first, and [55] being a more recent publication describing a multi-channel transceiver.…”

Section: Technologymentioning

confidence: 99%

Automotive Radar — From First Efforts to Future Systems

2021

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Section: Technologymentioning

confidence: 99%

Automotive Radar — From First Efforts to Future Systems

2021

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“…In addition, the tremendous expansion of automotive radar technology has also produced compact MIMO (Multiple Input Multiple Output) radars capable of estimating the angular position of the targets beyond just range and velocity. Several lightweights demonstrate this tremendous progress in radar technologies, small and cheap radar systems that have entered the consumer market in Systems on Chip (SoC) solutions [16,28,31,40,43].…”

Section: Introductionmentioning

confidence: 99%

Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey

Corradi

Fioranelli

2022

System Engineering for Constrained Embedded Systems

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The advent of consumer and industrial Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, has opened business opportunities in many fields, including logistics, smart agriculture, inspection, surveillance, and construction. In addition, the autonomous operations of UAVs reduce risks by minimizing the time spent by human workers in harsh environments and lowering costs by automating tasks. For reliability and safety, the drones must sense and avoid potential obstacles and must be capable of safely navigating in unknown environments. UAVs' perception requires reliability in various settings, such as high dust levels, humidity, intense sun glare, dark, and fog that can severely obstruct many conventional sensing methods. Radar systems have unique strengths; they can reliably estimate how far an object is and measure its relative speed via the Doppler effect. In addition, because radars exploit radio waves to sense, they perform well in rain, fog, snow, or smoky environments. This stands in contrast to optical technologies, such as cameras or LIght Detection And Ranging (Lidars), which are more susceptible to the same challenges as the human eye. This survey paper aims to address the signal processing challenges for the exploitation of radar systems in unmanned aerial vehicles for advanced perception, considering recent integration trends and technology capabilities. The focus is on signal processing techniques for low-cost and power-efficient radar sensors, which operate onboard the UAVs in real-time to ensure their needs in terms of perception, situational awareness, and navigation. Additionally, we highlight the challenges that remain to be tackled and the opportunities that lie ahead in the search for a more efficient, safe, and autonomous way for UAVs to perceive and interact with the world. CCS CONCEPTS• Computer systems organization → System on a chip; Embedded hardware;This work is licensed under a Creative Commons Attribution International 4.0 License.

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“…For high system sensitivity, the receiver front-end is required to have a high amplitude gain and a low noise contribution. Many designs [7][8][9][10][11] in CMOS technology for radar applications have been reported. Reference [7] presents an LNA design with a gain of 20 dB and a noise figure (NF) of 4.6 dB.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [9] realizes an LNA with a gain of 17.3 dB and an NF of 7.4 dB using the microstrip lines as inductive components, which occupy more chip areas. References [10,11] adopt a passive mixer to realize a good NF of 9 and 8.7 dB, respectively. However, the LNA designs using the traditional neutralization technique have room for gain improvement.…”

Section: Introductionmentioning

confidence: 99%

A 77-GHz High Gain Low Noise Receiver for Automatic Radar Applications

Cheng

Mei

et al. 2021

Electronics

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In this paper, a high gain 77-GHz receiver with a low noise figure (NF) was designed and implemented in a 40-nm CMOS process. With the purpose of making better use of active devices, an extra inductor, Ld, is adopted in the new neutralization technique. The three-stage differential low noise amplifier (LNA) using the proposed technique improves the voltage gain and reduces the NF. The receiver design utilizes an active double-balanced Gilbert mixer with a transformer coupling network between the transconductance stage and the switch stage. The flicker noise contribution from the switch MOS transistors is largely reduced due to the low DC current of the switch pairs. The LO signal is provided by an on-chip fundamental voltage-controlled oscillator (VCO) with a tuning range from 70.5 to 78.1 GHz. A conversion gain of 32 dB and a NF of 11.86 dB are achieved at 77 GHz by the designed receiver. The LNA as well as the mixer consume a total DC power of 33.2 mW and occupy a core size of 1 × 0.38 mm2.

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A 77 GHz 8RX3TX transceiver for 250 m long range automotive radar in 40 nm CMOS technology

Cited by 17 publications

References 9 publications

Automotive Radar — From First Efforts to Future Systems

Automotive Radar — From First Efforts to Future Systems

Radar Perception for Autonomous Unmanned Aerial Vehicles: a Survey

A 77-GHz High Gain Low Noise Receiver for Automatic Radar Applications

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