Long Range Backscatter Communication Method Based on Direct Digital Frequency Synthesis

Xiaoqing TANG; Guihui XIE; Yajun SHE; Shuai ZHANG

doi:10.11999/JEIT190001

Volume 41 Issue 12

Dec. 2019

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(12): 2802-2809

Hongyan LUO, Ziyan ZHU, Rui LIN, Zhen LIN, Yanjian LIAO. Improved No-reference Noisy Image Quality Assessment Based on Masking Effect and Gradient Information[J]. Journal of Electronics & Information Technology, 2019, 41(1): 210-218. doi: 10.11999/JEIT180195

Citation:

Xiaoqing TANG, Guihui XIE, Yajun SHE, Shuai ZHANG. Long Range Backscatter Communication Method Based on Direct Digital Frequency Synthesis[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2802-2809. doi: 10.11999/JEIT190001

Citation:

PDF( 2288 KB)

Long Range Backscatter Communication Method Based on Direct Digital Frequency Synthesis

doi: 10.11999/JEIT190001

1.
Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
2.
School of Automation, China University of Geosciences, Wuhan 430074, China

Funds: The 2018 Major Innovation Project of Hubei Province (2018AAA064), The 2018 Experimental Technology Research Project of CUG (SJ-201831)

Received Date: 2019-01-03
Rev Recd Date: 2019-06-08

Available Online: 2019-07-04

Publish Date: 2019-12-01

Abstract

Abstract

Long Range(LoRa) Backscattering Communication (BC) not only has the advantages of low cost and low power consumption, but also has a long communication distance. However, the existing LoRa BC scheme is complex and can not be applied to actual engineering. For this purpose, a new LoRa BC method is proposed. A Direct Digital frequency Synthesis (DDS) technique is used to generate a square wave with a linear frequency variation as a LoRa scattering modulation signal. For the first time, the prototype of LoRa BC system based on MCU is demonstrated. Experimental results show that design can successfully realize backscatter communication at any position between the station and the receiver which are 208 meters apart, while being compatible with commodity LoRa chipset. In addition, the method is also applicable to an Application Specific Integrated Circuit (ASIC) design, which enables the LoRa backscattering IC to have higher robustness, lower cost, and lower power consumption.
- Internet of Things(IoT),
- Long Range (LoRa) Backscatter Communication (BC),
- Chirp Spread Spectrum (CSS) modulation,
- Low power comsumption

FullText(HTML)

References(13)

References

AL-FUQAHA A, GUIZANI M, MOHAMMADI M, et al. Internet of things: A survey on enabling technologies, protocols, and applications[J]. IEEE Communications Surveys & Tutorials, 2015, 17(4): 2347–2376. doi: 10.1109/COMST.2015.2444095

GUBBI J, BUYYA R, MARUSIC S, et al. Internet of Things (IoT): A vision, architectural elements, and future directions[J]. Future Generation Computer Systems, 2013, 29(7): 1645–1660. doi: 10.1016/j.future.2013.01.010

ZANELLA A, BUI N, CASTELLANI A, et al. Internet of things for smart cities[J]. IEEE Internet of Things Journal, 2014, 1(1): 22–32. doi: 10.1109/JIOT.2014.2306328

SONG Yonghua, LIN Jin, TANG Ming, et al. An internet of energy things based on wireless LPWAN[J]. Engineering, 2017, 3(4): 460–466. doi: 10.1016/j.eng.2017.04.011

BARDYN J P, MELLY T, SELLER O, et al. IoT: The era of LPWAN is starting now[C]. The 42nd European Solid-State Circuits Conference, Lausanne, Switzerland, 2016: 25–30. doi: 10.1109/ESSCIRC.2016.7598235.

SINHA R S, WEI Yiqiao, and HWANG S H. A survey on LPWA technology: LoRa and NB-IoT[J]. ICT Express, 2017, 3(1): 14–21. doi: 10.1016/j.icte.2017.03.004

MEKKI K, BAJIC E, CHAXEL F, et al. A comparative study of LPWAN technologies for large-scale IoT deployment[J]. ICT Express, 2018, 5(1): 1–7. doi: 10.1016/j.icte.2017.12.005

IYER V, TALLA V, KELLOGG B, et al. Inter-technology backscatter: Towards internet connectivity for implanted devices[C]. 2016 ACM SIGCOMM Conference, Florianopolis, Brazil, 2016: 356–369. doi: 10.1145/2934872.2934894.

ENSWORTH J F and REYNOLDS M S. Every smart phone is a backscatter reader: Modulated backscatter compatibility with Bluetooth 4.0 Low Energy (BLE) devices[C]. 2015 IEEE International Conference on RFID, San Diego, USA, 2015: 78–85. doi: 10.1109/RFID.2015.7113076.

BHARADIA D, JOSHI K R, KOTARU M, et al. BackFi: High throughput WiFi backscatter[J]. ACM SIGCOMM Computer Communication Review, 2015, 45(5): 283–296. doi: 10.1145/2829988.2787490

KELLOGG B, PARKS A, GOLLAKOTA S, et al. Wi-Fi backscatter: Internet connectivity for RF-powered devices[C]. 2014 ACM Conference on SIGCOMM, Chicago, USA, 2014: 607–618. doi: 10.1145/2740070.2626319.

KELLOGG B, TALLA V, SMITH J R, et al. Passive Wi-Fi: Bringing low power to Wi-Fi transmissions[J]. GetMobile: Mobile Computing and Communications, 2016, 20(3): 38–41. doi: 10.1145/3036699.3036711

TALLA V, HESSAR M, KELLOGG B, et al. LoRa backscatter: Enabling the vision of ubiquitous connectivity[J]. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2017, 1(3): 105. doi: 10.1145/3130970

Relative Articles

Supplements(0)

Cited By

Cited by

Periodical cited type(4)

1.	彭晏飞，王静，刘晓轩，巩胜杰. 结合主成分分析和图像分块的重定向研究. 液晶与显示. 2024(02): 157-167 .
2.	崔嘉，宋磊，陆宏菊，唐明晰，戚萌. 基于最小位移可视差的连续Seam Carving算法在图像缩放中的研究. 电子与信息学报. 2021(04): 1014-1021 . 本站查看
3.	张雅茹. 基于DCT的无参考JPEG压缩图像质量评价研究. 太原学院学报(自然科学版). 2021(03): 66-70 .
4.	王怡影，章承诺，徐静静，范程华，柴豆豆. 基于掩盖模型非线性变换的相关性分析. 蚌埠学院学报. 2020(05): 53-56 .