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A Low-Complexity Bio-medical Signal Receiver for Wireless Body Area Network
|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:|| 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.  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.  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.  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.  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.  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.  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.  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.  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.  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. 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. 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. 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. 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. 林尚賢, “Low complexity Synchronization Circuit Design for MIMO-OFDM Systems, ”國立中興大學碩士論文,2008. 許家禎, “Realization of Synchronization for OFDM-Based Wireless LAN System, ”國立中興大學碩士論文,2005. 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:||
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.
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