SCIENTIA SINICA Informationis, Volume 49 , Issue 1 : 104-111(2019) https://doi.org/10.1360/N112018-00011

A real-time sampling and receiving algorithm based on time extension

More info
  • ReceivedJan 11, 2018
  • AcceptedMar 7, 2018
  • PublishedJan 9, 2019


In this paper, a real-time sampling and receiving algorithm based on time expansion is proposed. The algorithm has been verified by FPGA (field programmable gate array). Two sets of square wave signals, the phases of which can be controlled, are generated by using DTC (digital to time converter) to control the emission of the signal and receiving ADC (analog to digital converter) sampling. The phase difference between the two signals is an arithmetic sequence by adjusting the frequency multiplication ratio of the PLL (phase locked loop) and the reference frequency of the input signal, the minimum phase difference is 62 ps. The high-frequency signal is sampled by low-frequency ADC, which greatly reduces the design difficulty of the system's power and hardware system, and increases the maintainability of the system. The equivalent sampling frequency can reach 16 GS/s. The algorithm is implemented on FPGA with Verilog HDL, and the verification is completed.

Funded by



[1] Dai Z J, Wang Q, Yang X, et al. The application of random equivalent sampling in acquisition system with 5 Gsps real-time sampling. In: Proceedings of the 13th IEEE International Conference on Electronic Measurement, Yangzhou, 2017. 188--192. Google Scholar

[2] Yang J, Liu S, Zhu C, et al. Equivalent sampling oscilloscope with external delay embedded system. In: Proceedings of IEEE International Conference on High Performance Computing and Communications, Banff, 2011. 195--201. Google Scholar

[3] Han H G, Yu B G, Kim T W. 19.6 A 1.9 mm-precision 20 GS/S real-time sampling receiver using time-extension method for indoor localization. In: Proceedings of IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, 2015. 1--3. Google Scholar

[4] Xiao Z, Hei Y Q, Yu Q, et al. A survey on impulse-radio UWB localization. Sci China Inf Sci, 2010, 53: 1322--1335. Google Scholar

[5] Li X, Xu H, Lu H. A node cooperation based random linear network coding algorithm for wireless sensor networks. In: Proceedings of the 6th International Conference on Networked Computing and Advanced Information Management, Seoul, 2010. 164--168. Google Scholar

[6] Liu L, Li L, Hu B. Algorithms for k-fault tolerant power assignments in wireless sensor networks. Sci China Inf Sci, 2010, 53: 2527-2537 CrossRef Google Scholar

[7] Yu Y, Ning Z, Guo L. A secure routing scheme based on social network analysis in wireless mesh networks. Sci China Inf Sci, 2016, 59: 122310 CrossRef Google Scholar

[8] Zhang J, Dai W, Huang D, et al. Zigbee enabled remote temperature monitor system for high-voltage substations. In: Proceedings of Spring Congress on Engineering and Technology, Xi'an, 2012. 1--4. Google Scholar

[9] Mohammad B, Elgabra H, Ashour R, et al. Portable wireless biomedical temperature monitoring system: architecture and implementation. In: Proceedings of the 9th International Conference on Innovations in Information Technology (IIT), Abu Dhabi, 2013. 95--100. Google Scholar

[10] Shen C, Chen S. A cyber-physical design for indoor temperature monitoring using wireless sensor networks. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, 2017. 1--6. Google Scholar

[11] Muheden K, Erdem E, Vançin S. Design and implementation of the mobile fire alarm system using wireless sensor networks. In: Proceedings of IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, 2016. 000243--000246. Google Scholar

[12] Li X, Fang K, Gu J, et al. An improved ZigBee routing strategy for monitoring system. In: Proceedings of the 1st International Conference on Intelligent Networks and Intelligent Systems, Wuhan, 2008. 255--258. Google Scholar

[13] Sun D. Stability analysis of golden-section adaptive control systems based on the characteristic model. Sci China Inf Sci, 2017, 60: 092205 CrossRef Google Scholar

[14] Zhang J, Zhang R, Dai Y. Design and FPGA implementation of DDS based on waveform compression and Taylor series. In: Proceedings of the 29th Chinese Control And Decision Conference (CCDC), Chongqing, 2017. 1301--1306. Google Scholar

[15] Ding H T, Yang Z C, Wang Z F, et al. MEMS gyroscope control system using a band-pass continuous-time sigma-delta modulator. Sci China Inf Sci, 2013, 56: 102402. Google Scholar

[16] Lü J. Communication of LABVIEW and DSP based on USB interface. Dissertation for Master Degree. Tianjin: Tianjin University of Science & Technology, 2016. Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备17057255号       京公网安备11010102003388号