Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8779
標題: 多載波分碼多重存取無線通訊系統之適應性非同調接收機
Adaptive Noncoherent Receivers in MC CDMA Wireless Communication System
作者: 鄭源鴻
Cheng, Yuan-Hung
關鍵字: MCCDMA
多載波多工
DF-DD
noncoherent recevier
適應性等化器
回饋決策差分偵測器
出版社: 電機工程學系所
引用: [1] Jun-Da Chen, Fang-Biau Ueng , Shang-Chun Tsai, Jui-Chi Chang and Wei-Chuan Chen. Adaptive MDPSK DS/CDMA receivers with performance analysis. EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONSEur. Trans. Telecomms. 2009; 20:371-387 [2] Kam PY. Maximum-likelihood digital sequence estimation over the Gaussian channel with unknown carrier phase. IEEE Transactions on Communications 1987; COM-35:764-767 [3] Leib H, Pasupathy S. The phase of a vector perturbed by Gaussian noise and differential coherent receivers. IEEE Transactions on Information Theory 1988; 34(6):1491-1501. [4] P. Sehier and G. K. Kaleh, “Adaptive equaliser for differentially coherent receiver,” Proc. Inst. Elect. Eng. I, vol. 137, pp. 9-12, Feb. 1990. [5] A. Masoomzadeh-Fard and S. Pasupathy, “Nonlinear equalization of multipath fading channels with noncoherent demodulation,” IEEE J. Select. Areas Commun., vol. 14, pp. 512-520, Apr. 1996. [6] Monogioudis P, Tafazolli R, Evans BG. Autonomous CDMA multipath diversity receiver. IEEE International Symposium on Spread spectrum Techniques and Applications 1994; 2:430-434 [7] Edbauer F. Bit error rate of binary and quaternary DPSK signals with multiple differential feedback detection. IEEE Transactions on Communications 1992; 40:457-460. [8] Leib H. Data-aided noncoherent demodulation of DPSK. IEEE Transactions on Communications 1995; 43:722-725. [9] Hamamoto N. Differential detection with IIR filter for improving DPSKdetection performance. IEEE Transactions on Communications 1996; 44:959-966. [10] Abdulrahman M, Sheikh AUH, Falconer DD. Decision feedback equalization for CDMA in indoor wireless communications. IEEE Journal of Selected Areas in Communications 1994; 12:698-706 [11] Madhow U, Honig ML. MMSE interference suppression for direct-sequence spread-spectrum CDMA. IEEE Transactions on Communications 1994; 42(12):3178-3188. [12] Monogioudis P, Tafazolli R, Evans BG. LFSE interference cancellation in CDMA systems. IEEE International Conference on Communications 1994; pp. 1160-1163. [13] Rapaji'c PB,Vuˇceti'c BS. Adaptive receiver structures for asynchronous CDMA systems. IEEE Journal of Selected Areas in Communications 1994; 12(4):685-697. [14] Schober R, Gerstacker WH, Huber JB. Adaptive linear equalization combined with noncoherent detection for MDPSK signals. IEEE Transactions on Communications 2000; 48(5):733-738. [15] Sehier P, Kaleh GK. Adaptive equalizer for differentially coherent receiver. Proceedings of the Institute of Electrical Engineering 1990; 137:9-12. [16]D. N. Kalofonos, M. Stojanovic and J.G. Proakis,'' Performance of Adaptive MC-CDMA Detectors in Rapidly Fading Rayleigh Chammels,'' IEEE Trans. On Commun, vol. 2 pp. 229-239, March 2003 [17]Fang-Biau Ueng, Jun-Da Chen, Shang-Chun Tai, Shang-Fu Wang, Hsien Su and Li-Der Jeng, ‘' Adaptive MC-CDMA and MC-DS-CDMA receivers for multiuser and Multipath Fading communications,'' in Proc. IWCMC, pp. 821-826, July 2006. [18] Haykin S. Adaptive Filter Theory (3rd edn). Prentice-Hall: Upper Saddle River, NJ, 1996 [19] Sehier P, Kaleh GK. Adaptive equalizer for differentially coherentreceiver. Proceedings of the Institute of Electrical Engineering 1990;137:9-12 [20] R. Schober, W. H. Gerstacker, and J. B. Huber, “Adaptive noncoherentlinear minimum ISI equalization for MDAPSK signals,” in Proc. JCC, New Orleans, LA, 2000.
摘要: 時代的演進,從以前的二代行動通訊,一直到現在的3G,3.5G,未來的LTE ,WiMAX,甚至是第五代行動通訊,對抗環境的能力始終是必要的課題,在多載波多工的無線行動通訊中,因為在不同通道環境下,有不同的多重路徑干擾,一些稍複雜的環境下,甚至嚴重影響系統的效能,以及多重用戶使用中,產生多重存取干擾(MAI),導致傳輸容量減低,因此解決符號間的干擾,以及多重存取干擾,是主要的目標。這裡提供了一些解決的方法,比起單用戶接收器沒有這些問題,多用戶接收器會具有較高的運算複雜度,需要知道多重存取高擾的參數。然而同調接收器因為同步的關係,較難實現。使用非同調接收器,用於多載波多工M-ary差分編碼相移信號,其中的接收器是由線性等化器及回饋決策差分偵測器所組成提供了四種不同的差分接收器架構,並且使用三種不同的實際通道,經由多重路徑干擾的多寡,以及提供了二種展頻碼,實驗模擬,等化器的部份,皆是用最小均方誤差的演算法,來調整其中係數,再加上後面的回饋差分偵測器,將以上的接收器系統架構在解碼訊號處理的過程中,比較分析系統的效能表現,透過位元錯誤率的變化來判斷其系統效能之表現,以及透過運算,得知非同調的系統已經能夠逼近同調系統的表現。
In muti-carrier code division multiple access wireless digital communication systems, the system performance is limited by different situations and communication channels, all of them suffer from a significant loss of transmission capacity, made by multiple-access interference, hence in order to solve the problem of MAI and ISI in muti-carrie code division multiple access multiuser systems, which require the full knowledge of parameters of MAI and can be more computationally complex compared to the singleuser detecter. Furthermore, the noncoherent receiver is more easier to perform than th sigle-user receiver due to the synchronization of symbols. In this paper, some noncoherent receivers used in MCCDMA M-ary differential phase-shift keying signals over intersymbol interference channels is presented. the noncoherent receiver consists of a linear equalizer and a decision-feedback differential detecter. Here we provide some conditions which combined of 3 cost-207 channels and different spreading sequences in 4 recevier models. We employed modified least mean square algorithm for adaption of the equalizer coefficient to analysis the performance among different situations.
URI: http://hdl.handle.net/11455/8779
其他識別: U0005-0806201017462800
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0806201017462800
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