在這篇論文中，我們展示了一個基於信噪比 (SNR, Signal-to-Noise Ratio) 估計值實現自適應性封包
偵測以最小化能量消耗的2.4GHz基頻傳接機。因為可攜式裝置的使用率快速成長，節省能耗成為一個很重要的
話題。提出來的接收機包含了封包偵測器及解調器兩個主要的模組。封包偵測器檢查接收到的前文相關性並根
據偵測閾值做決策。為了減少能量損耗，這裡我們提出了一個能最小化誤報率 (false alarm rate) 及失誤率
(miss rate) 的自適應性偵測系統。此外還實現了一個具有低複雜度硬體實現的FM-AM轉換器作為低中頻解調器。
模擬的結果顯示，與傳統的系統比較，系統實現了最佳化偵測錯誤率。為了做通帶測試及展示，包含有自適應
性偵測器及低中頻解調器的接收機被實現在現場可编程邏輯閘陣列 (FPGA, Field Programmable Gate Array)平台上。而這個平台完整地與帶有血氧飽和度 (SpO$_2$) 感測器的脈動測氧器 (Pulse Oximeter) 整合並實現
個人無線健康照護。

Inthispaper,wepresenta2.4GHzbasebandtransceiverwithanadaptivedetectioncontrolbasedonchannelsignal-to-noiseratio(SNR)estimationtominimizeenergycon-sumption.Powersavingbecomesanimportantissuefortherapidlygrownusagesofportabledevices.Theproposedreceiverconsistsoftwomajormodules,apacketdetectorandade-modulator.Thepacketdetectorcorrelatesthereceivedpreambleandmakesdecisionwiththethreshold.Tominimizetheenergyconsumption,weproposeanadaptivedetectionschemesuchthatthefalsealarmrateandthemissdetectionrateareminimized.Furthermore,anFM-to-AMconverterisdevelopedasthelow-IFdemodulatorwhichhaslowcomplexityonhardwareimplementation.Simulationresultsshowthattheoptimaldetectionerrorrateisachievedcomparedwiththeconventionalschemes.Thereceiverwithadaptive-thresholddetectorandthelow-IFdemodulatorisimplementedinFPGAplatformandisintegratedwithRFmoduleforpassbandtestinganddemonstration.AndthisplatformiscompletelyintegratedwithapulseoximeterwithSpO2sensorwhichrealizethewirelesspersonalhealthmonitoring.

pp. 1738 –1745, feb/mar/apr 1995.
[3] K. Choi, K. Cheun, and T. Jung, “Adaptive pn code acquisition using instantaneous
power-scaled detection threshold under rayleigh fading and pulsed gaussian noise jamming,”
Communications, IEEE Transactions on, vol. 50, no. 8, pp. 1232 – 1235, aug
2002.
[4] C.-J. Kim, H.-J. Lee, and H.-S. Lee, “Adaptive acquisition of pn sequences for dsss
communications,” Communications, IEEE Transactions on, vol. 46, no. 8, pp. 993 –
996, aug 1998.
[5] C.-J. Kim, T.-W. Hwang, H.-J. Lee, and H.-S. Lee, “Acquisition of pn code with adaptive
threshold for ds/ss communications,” Electronics Letters, vol. 33, no. 16, pp. 1352 –1354,
jul 1997.
[6] F. H. Roel Schiphorst and K. Slump, “Bluetooth demodulation algorithms and their
performance,” IEEE the 2nd Karlsruhe Workshop on Software Radios, pp. 99–106,
March 2002.
52
[7] J. W. Ulrich Rohde, Communications Receivers: DPS, Software Radios, and Design,
3rd ed. McGraw-Hill, 2000.
[8] J. Glas, “A differential fm detector for low-if radios,” in Vehicular Technology Conference,
1999. VTC 1999 - Fall. IEEE VTS 50th, vol. 2, 1999, pp. 658 –662 vol.2.
[9] M. Corp, “Mu2100 bluetooth v2.1+ edr rf transceiver data sheet ver. 2.0,” Feb. 2009.
[10] Bluetooth Low Energy Controller SPEC. D09, ULP Working Group Std.
[11] N. Abramson, “A class of systematic codes for non-independent errors,” Information
Theory, IRE Transactions on, vol. 5, no. 4, pp. 150 –157, december 1959.
[12] L. Lampe, M. Jain, and R. Schober, “Improved decoding for bluetooth systems,” in
Communications, 2005. ICC 2005. 2005 IEEE International Conference on, vol. 4, may
2005, pp. 2511 – 2515 Vol. 4.
[13] K. Balachandran, S. Kadaba, and S. Nanda, “Channel quality estimation and rate
adaptation for cellular mobile radio,” Selected Areas in Communications, IEEE Journal
on, vol. 17, no. 7, pp. 1244 –1256, jul 1999.
[14] A. J. Viterbi, Principles of Spread Spectrum Communication. MA: Addison-Wesley,
1995.
[15] J. Wang, O. Wen, and S. Li, “Near-optimum pilot and data symbols power allocation for
mimo spatial multiplexing system with zero-forcing receiver,” Signal Processing Letters,
IEEE, vol. 16, no. 5, pp. 358 –361, may 2009.
[16] S. Hassan and M. Ingram, “Snr estimation for a non-coherent binary frequency shift
keying receiver,” in Global Telecommunications Conference, 2009. GLOBECOM 2009.
IEEE, 30 2009-dec. 4 2009, pp. 1 –5.
53
[17] R. E. Blahut., Theory and Practice of Error Control Codes. Addison!VWesley, 1983.
[18] S. Miller and R. O’Dea, “Multiple symbol noncoherent detection of gmsk,” in Communications,
1998. ICC 98. Conference Record.1998 IEEE International Conference on,
vol. 3, jun 1998, pp. 1676 –1680 vol.3.
[19] Masimo, “Perfusion index whitepaper,” 2005.
[20] A. Relente and L. Sison, “Characterization and adaptive filtering of motion artifacts in
pulse oximetry using accelerometers,” in Engineering in Medicine and Biology, 2002.
24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering
Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint, vol. 2, 2002,
pp. 1769 – 1770 vol.2.
[21] P. Stetson, “Independent component analysis of pulse oximetry signals,” in Engineering
in Medicine and Biology Society, 2004. IEMBS ’04. 26th Annual International Conference
of the IEEE, vol. 1, sept. 2004, pp. 231 –234.
[22] P. R. S. M J Hayes, “Artifact reduction in photoplethysmography,” Applied Optics, vol.
37, Issue: 31, pp. 7437–7446, 1998.