2.2 High-Performance and Small Form-Factor mm-Wave CMOS Radars for Automotive and Industrial Sensing in 76-to-81GHz and 57-to-64GHz Bands

Dandu, Krishnanshu; Samala, Sreekiran; Bhatia, Karan; Moallem, Meysam; Subburaj, Karthik; Ahmad, Zeshan; Breen, Daniel; Jang, Sunhwan; Davis, Tim; Singh, Mayank; Ram, Shankar; Dudhia, Vashishth; DeWilde, Marc; Shetty, Dheeraj; Samuel, John; Parkar, Zahir; Chi, Cathy; Loya, Pilar; Crawford, Zachary; Herrington, John D.; Kulak, Ross; Daga, A.; Raavi, Rakesh; Teja, Ravi; Veettil, Rajesh; Khemraj, Daniel; Prathapan, Indu; Narayanan, Prakash; Narayanan, Naveen; Anandwade, Sangamesh; Singh, Jasbir; Srinivasan, Venkatesh; Nayak, Neeraj; Ramasubramanian, Karthik; Ginsburg, Brian; Rentala, Vijay

doi:10.1109/isscc42613.2021.9365838

Cited by 36 publications

(6 citation statements)

References 6 publications

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“…In the 1960s [26], Germany, Sweden, Japan, and other developed countries first carried out research work on millimeter-wave radar. In the research of 77 GHz millimeter-wave radar [27], Sweden and Germany developed the adaptive intelligent driving control system and the autonomous cruise control system in 1986 and 2003, respectively, and Germany's Bosch initially realized the commercial use of 77 GHz radar. From 2004 to 2013, Japan first developed a 24 GHz millimeter-wave radar and installed it on a new crown car for trial use and then displayed a millimeter-wave radar in the 79 GHz band.…”

Section: Millimeter-wave Radarmentioning

confidence: 99%

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

et al. 2021

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Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the basic guarantee of its safety and intelligence. The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. The wrong environmental perception will affect the control of the vehicle, thus causing safety risks. This paper discusses the intelligent vehicle perception technology and introduces the development status and control strategies of several important sensors such as machine vision, laser radar, and millimeter-wave radar. Target detection, target recognition, and multisensor fusion are analyzed in the optimized part of sensor results. The functions of the intelligent vehicle assistance system which has been applied to the ground at present are described, and the lane detection, adaptive cruise control (ACC), and autonomous emergency braking (AEB) are analyzed. Finally, the paper looks forward to the research direction of sense-based intelligent vehicle perception technology, which will play an important role in guiding the development of intelligent vehicles and accelerate the landing process of intelligent vehicles.

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Section: Millimeter-wave Radarmentioning

confidence: 99%

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

et al. 2021

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“…T HE ever-increasing demands on the high data rate and high signal-to-noise ratio accelerate the development of high-performance millimeter-wave (mm-wave) phased-array systems [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28]. Recently, phased-array receivers (RXs) operated at 24/28 GHz [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] and 37/39 GHz [15], [16], [17], [18], [19], [20] bands are reported for 5G NR application.…”

Section: Introductionmentioning

confidence: 99%

A 23–40-GHz Phased-Array Receiver Using 14-Bit Phase-Gain Manager and Wideband Noise-Canceling LNA

Deng

Han

et al. 2023

IEEE J. Solid-State Circuits

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This article presents a 23-40-GHz phased-array receiver (RX) capable of reconfiguring to achieve fine phase step and high gain range. Such phased-array RX consists of a 14-bit phase-gain manager and a wideband noise-canceling low-noise amplifier (NCLNA). The proposed phase-gain manager includes two 7-bit variable gain amplifiers (VGAs) in radio-frequency (RF) domain, two pairs of mixers, and two variable gain signmap (VGSM) circuits in intermediate-frequency (IF) domain. The proposed phased-array RX can not only provide a maximum 14-bit phase-tuning operation and >35-dB gain variation range but also achieve an improved calibration-free image rejection ratio (IRR) by introducing the dual-mode image rejection operation. Based on the aforementioned structure, a four-element phased-array RX is implemented and fabricated in a 40-nm CMOS technology. The whole circuit size is 2.2 × 1.3 mm, while consuming 52 mW per element. The measured result shows a state-of-the-art minimal noise figure (NF) of 3.8 dB, which supports 3 Gb/s, 64-QAM and 2.4 Gb/s, 256-QAM modulation signal.

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“…channel radar transceivers [12] or newly developed single chip transceivers having RX and TX channels more than 10 [13], [14]. Most updated high resolution radar systems support about 1° and 2° in azimuth and elevation resolution respectively by implementing virtual channels more than 100 using MIMO techniques.…”

Section: Introductionmentioning

confidence: 99%

A 94-GHz High Resolution Radar Using Time Interleaving Active Array in 65-nm CMOS

Park,

Yu,

Kim

et al. 2023

IEEE Access

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2.2 High-Performance and Small Form-Factor mm-Wave CMOS Radars for Automotive and Industrial Sensing in 76-to-81GHz and 57-to-64GHz Bands

Cited by 36 publications

References 6 publications

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

[Retracted] Sensor‐Based Environmental Perception Technology for Intelligent Vehicles

A 23–40-GHz Phased-Array Receiver Using 14-Bit Phase-Gain Manager and Wideband Noise-Canceling LNA

A 94-GHz High Resolution Radar Using Time Interleaving Active Array in 65-nm CMOS

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