A 253mW/channel 4TX/4RX pulsed chirping phased-array radar TRX in 65nm CMOS for X-band synthetic-aperture radar imaging

Lou, Liheng; Tang, Kai; Chen, Bin; Guo, Ting; Wang, Yisheng; Wang, Wensong; Fang, Zhongyuan; Liu, Zhe; Zheng, Yuanjin

doi:10.1109/isscc.2018.8310233

Cited by 18 publications

(10 citation statements)

References 4 publications

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“…SAR can penetrate clouds, smoke, and fog, and provide high-resolution images [26]- [28], which can reduce the impact of weather conditions in detection. In order to detect the suspicious UAVs and reduce the cost, Park et al [29] designed a set of system based on lowcost SAR.…”

Section: Radar Methodsmentioning

confidence: 99%

UAV Target Identification Based on Information fusion of Computer Vision and Radar Signals

Wei

Hong

Fang

2022

Preprint

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With the increasing number of unmanned aerial vehicles (UAVs), the increasing pressure of air traffic management and airspace security, it is a challenge to achieve effective UAV target detection. Computer vision and radar signal detection are two commonly used technologies in this field. Computer vision is limited by meteorological conditions and the radar signal is affected by ground clutter at low altitudes. In response to these problems, this paper describes the information fusion method from two different levels of data-level fusion and decision-level fusion. In this method, Computer vision and radar signals complement each other to improve the detection accuracy. For each level, the method of information fusion is introduced in detail. Besides, the effectiveness of the method is proved by comprehensive experiment. The results show that the accuracy of the fusion method is improved, with a maximum of 9.0%.

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Section: Radar Methodsmentioning

confidence: 99%

UAV Target Identification Based on Information fusion of Computer Vision and Radar Signals

Wei

Hong

Fang

2022

Preprint

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“…[6]. Besides such applications, chip-scale X-band FMCW radar sensors have shown applications in robust short-range sensing and SAR imaging applications with low power consumption [5], [11], [12]. The CMOS-integrated radar cognitive sensing platform is illustrated in Fig.…”

Section: Cognitive Radar Sensor Platform Illustrationmentioning

confidence: 99%

A CMOS-Integrated Radar-Assisted Cognitive Sensing Platform for Seamless Human-Robot Interactions

Fang

Lou

Tang

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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With the rapid development of the internet of things (IoT), industry 4.0, smart manufacturing, intelligent building techniques, robots are becoming more and more demanding for emerging new applications. For robots used in complex environments, precise sensing of its surroundings is essential to enable safe and robust operation. Comprehensive and cognitive perception capability is needed to recognize human subjects in a complex and dynamic environment to avoid the possible collisions. Moreover, comprehensive sensing is required to enable accurate simultaneous localization and mapping (SLAM) under scenarios with clutters and moving human subjects. To achieve the goal, a CMOS-integrated radarassisted robot sensing platform is proposed. By leveraging the phased-array radar techniques and time-phase processing techniques, high accuracy can be achieved for localization and recognition of human subjects. Fabricated in a 65-nm CMOS process, the chip-scale radar sensing platform is with compact size. A series of experiments have been carried out on verifying the capabilities of the radar platform for ranging and human recognition based on vital signs, exploring the potential for seamless human-robot interaction applications.

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“…First, advancements in semiconductor technology have enabled the integration of radio frequency (RF) front-end, baseband filtering, and data conversion systems on a single chip at competitive prices and reasonable performance levels [11,12]. Researchers developed a complementary metal-oxide-semiconductor (CMOS) Ku-band transceiver for frequency-modulated continuous-wave (FMCW) radar imaging [13,14], and in another study, they proposed an X-band CMOS four-channel phased array transceiver for synthetic aperture radar (SAR) imaging [15]. Through the use of RF phase-shifting and active switches, an eight-channel silicon-germanium (SiGe) receiver can configure the total number of simultaneous beams for a 2-16 GHz operating frequency [16].…”

Section: Introductionmentioning

confidence: 99%

An X-Band CMOS Digital Phased Array Radar from Hardware to Software

Chou

et al. 2021

Sensors

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Phased array technology features rapid and directional scanning and has become a promising approach for remote sensing and wireless communication. In addition, element-level digitization has increased the feasibility of complicated signal processing and simultaneous multi-beamforming processes. However, the high cost and bulky characteristics of beam-steering systems have prevented their extensive application. In this paper, an X-band element-level digital phased array radar utilizing fully integrated complementary metal-oxide-semiconductor (CMOS) transceivers is proposed for achieving a low-cost and compact-size digital beamforming system. An 8–10 GHz transceiver system-on-chip (SoC) fabricated in 65 nm CMOS technology offers baseband filtering, frequency translation, and global clock synchronization through the proposed periodic pulse injection technique. A 16-element subarray module with an SoC integration, antenna-in-package, and tile array configuration achieves digital beamforming, back-end computing, and dc–dc conversion with a size of 317 × 149 × 74.6 mm3. A radar demonstrator with scalable subarray modules simultaneously realizes range sensing and azimuth recognition for pulsed radar configurations. Captured by the suggested software-defined pulsed radar, a complete range–azimuth figure with a 1 km maximum observation range can be displayed within 150 ms under the current implementation.

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A 253mW/channel 4TX/4RX pulsed chirping phased-array radar TRX in 65nm CMOS for X-band synthetic-aperture radar imaging

Abstract: A 253mW/channel 4TX/4RX pulsed chirping phased-array radar TRX in 65nm CMOS for X-band synthetic-aperture radar imaging Lou

Cited by 18 publications

References 4 publications

UAV Target Identification Based on Information fusion of Computer Vision and Radar Signals

UAV Target Identification Based on Information fusion of Computer Vision and Radar Signals

A CMOS-Integrated Radar-Assisted Cognitive Sensing Platform for Seamless Human-Robot Interactions

An X-Band CMOS Digital Phased Array Radar from Hardware to Software

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