Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/6601
標題: 運用於無線近身網路之低複雜度生醫訊號接收器
A Low-Complexity Bio-medical Signal Receiver for Wireless Body Area Network
作者: 龎子涵
Pang, Tz-Han
關鍵字: bio-signal;生醫訊號;receiver;baseband;接收器;基頻
出版社: 電機工程學系所
引用: [1] C.-C. Wang, J.-M. Huang, L.-H. Lee, S.-H. Wang, and C.-P. Li, “A low-power 2.45 GHz Zigbee transceiver for wearable personal medical devices in WPAN,” in Proc. IEEE International Conference on Consumer Electronics, Jan. 2007, pp. 1-2. [2] J. H. Lim, K. S. Cho, B. L. Seo, Y. l. Kwon, W. S. Lee, K. M. Lee, M. S. Kim, S. H. Min, and T. J. Park, “A fully integrated 2.4 GHz IEEE 802.15.4 transceiver for Zigbee applications,” in Proc. IEEE Asia-Pacific Conference on Microwave, Dec. 2006, pp. 1779-1782. [3] J.-Y. Yu, W.-C. Liao, and C.-Y. Lee, “A MT-CDMA based wireless body area network for ubiquitous healthcare monitoring,” in Proc. IEEE Conference on Biomedical Circuits and Systems, Dec. 2006, pp. 98-101. [4] J.-Y. Yu, C.-Y. Yu, S.-B. Huang, T.-W. Chen, J.-T. Chen, K.-L. Kuo, and C.-Y. Lee, “A 0.5V 4.85Mbps dual-mode baseband transceiver with extended frequency calibration for biotelemetry applications, ” in Proc. IEEE Asian Solid-State Circuits Conference, 2008, pp. 293-296. [5] C.-C. Wang, C.-C. Huang, J.-M. Huang, C.-Y. Chang, and C.-P. Li, “Zigbee 868/915-MHz modulator/demodulator for wireless personal area network,” IEEE Transactions on Very Large Scale Integration Systems, vol. 16, no.7, pp. 936-939, Jul. 2008. [6] X. Hu, J. Wang, Q. Yu, W. Liu, and J. Qin, “A wireless sensor network based on Zigbee for telemedicine monitoring system,” in Proc. IEEE International Conference on Bioinformatics and Biomedical Engineering, May 2008, pp. 1367-1370. [7] H.-B. Li, K.-I. Takizawa, B. Zheri, and R. Kohno, “Body area network and its standardization at IEEE 802.15.MBAN,” Mobile and Wireless Communications Summit, Jul. 2007, pp. 1-5. [8] C. Park ; P.H. Chou, Y. Bai, R. Matthews, and A. Hibbs, “An ultra-wearable, wireless, low power ECG monitoring system,” in Proc. IEEE Conference on Biomedical Circuits and Systems, Nov. 2006, pp. 241-244. [9] M. R. Yuce, and C. K. Ho, “Implementation of body area networks based on MICS/WMTS medical bands for healthcare systems,” in Proc. IEEE International Conference on Engineering in Medicine and Biology Society, Aug. 2008, pp. 3417-3421. [10] X. Liu, Y. Zheng, B. Zhao, Y. Wang, and M. W. Phyu, “An ultra low power baseband transceiver IC for wireless body area network in 0.18- u m CMOS technology,” IEEE Transactions on Very Large Scale Integration Systems, vol. 11, no. 7, pp. 1-11, Jul. 2010. [11]黃天德, “The Design and Implementation of IEEE 802.15.4 Baseband Processor, ”國立成功大學碩士論文,2005. [12]許冠文, “The Baseband Signal Processing and Circuit Design for 868MHz ASK Mode of the IEEE802.15.4 -2006 Low Rate-Wireless Personal Area Network , ”國立中山大學碩士論文,2009. [13]廖冠淵, “The Baseband Signal Processing and Circuit Design for 915MHz Amplitude Shift Keying Modulation Mode of the IEEE802.15.4 -2006 Low Rate-Wireless Personal Area Network, ”國立中山大學碩士論文,2009. [14]劉東昱, “The Baseband Signal Processing and Circuit Design for 2.45GHz Mode of the IEEE802.15.4 Low Rate-Wireless Personal Area Network(LR-WPAN) , ”國立中山大學碩士論文,2005. [15]林尚賢, “Low complexity Synchronization Circuit Design for MIMO-OFDM Systems, ”國立中興大學碩士論文,2008. [16]許家禎, “Realization of Synchronization for OFDM-Based Wireless LAN System, ”國立中興大學碩士論文,2005. [17]陳宗正, “Computer Simulation and Research of Smart Antennas and Modified DOA Estimation Techniques for DS-CDMA System, ”南台科技大學碩士論文,2005.
摘要: 
近年來,無線通訊技術越來越蓬勃發展,且社會有越來越高齡化的趨勢,因此無線通訊也漸漸應用在醫療監控方面,有如居家監控、遠距醫療、生理訊號感測、近身智慧型裝置等等,諸如此類的設計都講求低功耗、低成本及低複雜度,因此我們希望可以建構出一套無線化、微小化的智慧型生理訊號監護系統,可多人同時使用,讓使用者彼此間的生理訊號不會互相影響,量測到的生理訊號經過無線傳輸後送至智慧型判斷,當發生異常警訊時會發出警訊,可大幅降低醫療人力與資源,本論文主要是研究以無線傳輸方式傳送生醫訊號的接收端基頻部份,並設計與實現之。如同其他無線傳輸標準,本論文亦考慮非理想通道效應,如高斯雜訊、載波頻率偏移及相位雜訊等影響,針對這些通道效應設計了低複雜度的接收端基頻部分,包括封包偵測、載波頻率偏移與補償、能量偵測、符元邊界同步及解展頻等演算法設計,一旦設定的演算法功能確定後,便可利用硬體描述語言與FPGA來做硬體的實現與驗證。

In recent years, the wireless communication technology has been developed with a very high speed. In accordance to the tendency towards an aging society, the wireless communications technology has been used in medical monitoring gradually, such as home health monitoring, telemedicine, bio-sensing, smart device near body and so on. Such devices are all with characteristics of low power consumption, low cost, and low complexity. Thus, we want to construct a smart bio-sensing system, which is wireless, tiny, and can be provided for more than one person to use at the same time. The bio-signal between users will not be interfered with each other. The sensing bio-signal will be sent to the smart analyzing system by wireless transmission. Once the unusual signal is detected, the smart analyzing system will send out a warning signal. The system can save a lot of medical officers and resources. This thesis accomplished the baseband receiver for wireless bio-medical signal transmission.Like the other wireless transmission standard, this thesis also considered the channel effect like AWGN, carrier frequency offset, and phase noise. To reduce the complexity of the baseband receiver, many algorisms have been carefully investigated, such as packet detector, the compensation and estimation for carrier frequency offset, energy detector, boundary synchronism, and dispreading. After the algorisms for various functions are determined, then it is verified and accomplished by Verilog and FPGA.
URI: http://hdl.handle.net/11455/6601
其他識別: U0005-1708201100054900
Appears in Collections:電機工程學系所

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