A 2.85mm2 RF Transceiver in 40nm CMOS for IoT Micro-Hub Applications

Author(s):  
Zexue Liu ◽  
Yi Tan ◽  
Chen Xu ◽  
Heyi Li ◽  
Haoyun Jiang ◽  
...  
Keyword(s):  
Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1563
Author(s):  
Jae Kwon Ha ◽  
Chang Kyun Noh ◽  
Jin Seop Lee ◽  
Ho Jin Kang ◽  
Yu Min Kim ◽  
...  

In this work, a multi-mode radar transceiver supporting pulse, FMCW and CW modes was designed as an integrated circuit. The radars mainly detect the targets move by using the Doppler frequency which is significantly affected by flicker noise of the receiver from several Hz to several kHz. Due to this flicker noise, the long-range detection performance of the radars is greatly reduced, and the accuracy of range to the target and velocity is also deteriorated. Therefore, we propose a transmitter that suppresses LO leakage in consideration of long-range detection, target distance, velocity, and noise figure. We also propose a receiver structure that suppresses DC offset due to image signal and LO leakage. The design was conducted with TSMC 65 nm CMOS process, and the designed and fabricated circuit consumes a current of 265 mA at 1.2 V supply voltage. The proposed transmitter confirms the LO leakage suppression of 37 dB at 24 GHz. The proposed receiver improves the noise figure by about 20 dB at 100 Hz by applying a double conversion architecture and an image rejection, and it illustrates a DC rejection of 30 dB. Afterwards, the operation of the pulse, FMCW, and CW modes of the designed radar in integrated circuit was confirmed through experiment using a test PCB.


2013 ◽  
Vol 427-429 ◽  
pp. 1268-1271
Author(s):  
Xue Wen He ◽  
Ying Fei Sheng ◽  
Kuan Gang Fan ◽  
Le Ping Zheng ◽  
Qing Mei Cao

In view of the existing flaws of traditional manual observations, a new type of tailing reservoir safety monitoring and warning system based on ZigBee and LabVIEW was designed. The system chose SoC chip CC2530 as the RF transceiver and designed the low-power wireless sensor networks nodes to collect and process the data of tailing reservoir. It chose ZigBee 2007 as the network communication protocol, and uploaded the data to PC by RS232 serial port. The monitoring and warning interface of PC was completed with LabVIEW. The testing results show that the data transmission of the network is stable and the system is suitable for real-time monitoring and warning of the tungsten tailing reservoir.


Author(s):  
Huainan Ma ◽  
Rajinder Singh ◽  
Kai Tuan Yan ◽  
Sher Jiun Fang ◽  
Fujiang Lin ◽  
...  

2007 ◽  
Vol 42 (6) ◽  
pp. 1318-1327 ◽  
Author(s):  
Hoesam Jeong ◽  
Byoung-Joo Yoo ◽  
C. Han ◽  
Sang-Yoon Lee ◽  
Kang-Yoon Lee ◽  
...  
Keyword(s):  

2006 ◽  
Vol 41 (12) ◽  
pp. 2787-2794 ◽  
Author(s):  
Christoph Sandner ◽  
Sven Derksen ◽  
Dieter Draxelmayr ◽  
Staffan Ek ◽  
Voicu Filimon ◽  
...  
Keyword(s):  

Author(s):  
Ronghua Yu ◽  
Qixin Zhou ◽  
Yechun Wang ◽  
Chao You

Researchers have been focused on the influences of flowing fluid on the corrosion of bare metals, but there is little emphasis on the degradation of metal-protective coating. Evaluating the metal-protective coating usually uses the Electrochemical Impedance Spectroscopy (EIS) method. EIS is a technique used for evaluating coating permeability or barrier performance based on the electrical impedance of coating. This paper presents a new impedance-based wireless sensor network for metal-protective coating evaluation. This wireless sensor network consists of two parts: impedance-based wireless sensor nodes and a wireless data base that are equipped with a network analyzer (AD5933) and a RF transceiver (CC1111/CC1110). In the experiment, there are three coating panels immersed in flowing deionized water (DI water) and one coating panel immersed in stationary DI water. Experimental results demonstrate that the proposed wireless sensor network is capable to evaluate the coating degrading.


2017 ◽  
Vol 65 (11) ◽  
pp. 4229-4240 ◽  
Author(s):  
R. F. Cordeiro ◽  
Andre Prata ◽  
Arnaldo S. R. Oliveira ◽  
Jose M. N. Vieira ◽  
N. B. De Carvalho
Keyword(s):  

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