Maximum a posteriori fast fading channel estimation based exclusively on pilot symbols

An innovations-based block-by-block maximum a posteriori fast fading channel estimation algorithm, based exclusively on the received samples of pilot symbols, is proposed. This algorithm enables the theoretical determination of the optimum positions of pilot symbols using the raw bit error rate criterion. Moreover, it can be reformulated simply using appropriate weighting of the projections of received pilot symbols samples on an extended orthonormal base. This base can be determined simply as a function of the statistical properties of the channel.RésuméOn propose un algorithme ďestimation, bloc par bloc, ďun canal avec évanouissements rapides, basé sur ľinnovation et utilisant uniquement les échantillons reçus associés aux symboles pilotes. Cet algorithme permet de déterminer théoriquement les positions optimales des symboles pilotes dans le bloc en s’appuyant sur le critére du taux ďerreur binaire brut. De plus, il peut être reformulé simplement en utilisant une pondération appropriée des projections des échantillons reçus associés aux symboles pilotes sur une base orthonormale etendue. Cette base peut être déterminée simplement à partir des propriétés statistiques du canal.

[1]  Per Ola Börjesson,et al.  Analysis of DFT-Based Channel Estimators for OFDM , 2000, Wirel. Pers. Commun..

[2]  Ming Yan,et al.  Joint estimation of fading channel and data with antenna arrays , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[3]  J. H. Winters,et al.  Effect of fading correlation on adaptive arrays in digital mobile radio , 1994 .

[4]  Costas N. Georghiades,et al.  Sequence estimation in the presence of random parameters via the EM algorithm , 1997, IEEE Trans. Commun..

[5]  E. Al-Susa,et al.  A predictor-based decision feedback channel estimation method for COFDM with high resilience to rapid time-variations , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[6]  Pierfrancesco Lombardo,et al.  MRC performance for binary signals in Nakagami fading with general branch correlation , 1999, IEEE Trans. Commun..

[7]  J.A.C. Bingham,et al.  Multicarrier modulation for data transmission: an idea whose time has come , 1990, IEEE Communications Magazine.

[8]  L. Tong,et al.  Multichannel blind identification: from subspace to maximum likelihood methods , 1998, Proc. IEEE.

[9]  Georgios B. Giannakis,et al.  Transmitter induced cyclostationarity for blind channel equalization , 1997, IEEE Trans. Signal Process..

[10]  Seymour Stein,et al.  Fading Channel Issues in System Engineering , 1987, IEEE J. Sel. Areas Commun..

[11]  Subbarayan Pasupathy,et al.  Innovations-based MLSE for Rayleigh fading channels , 1995, IEEE Trans. Commun..

[12]  Göran Malmgren.  On local/regional single frequency networks , 1995 .

[13]  Geoffrey Ye Li,et al.  Robust channel estimation for OFDM systems with rapid dispersive fading channels , 1998, IEEE Trans. Commun..

[14]  Mohamed Siala,et al.  Turbo channel estimation for TDMA systems on highly time and frequency selective channels , 2000, 2008 3rd International Symposium on Wireless Pervasive Computing.

[15]  Costas N. Georghiades,et al.  Iterative joint sequence and channel estimation for fast time-varying intersymbol interference channels , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[16]  Eric Moulines,et al.  Subspace methods for the blind identification of multichannel FIR filters , 1995, IEEE Trans. Signal Process..

[17]  G. Malmgren.  On the performance of single frequency networks in correlated shadow fading , 1997 .

[18]  G. Malmgren.  Impact of carrier frequency offset, Doppler spread and time synchronisation errors in OFDM based single frequency networks , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[19]  Richard D. Wesel,et al.  Pilot-aided joint data and channel estimation in flat correlated fading , 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

[20]  Mohamed Siala,et al.  Maximum a posteriori multipath fading channel estimation for CDMA systems , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[21]  Philippe Loubaton,et al.  On subspace methods for blind identification of single-input multiple-output FIR systems , 1997, IEEE Trans. Signal Process..

[22]  S.K. Wilson,et al.  On channel estimation in OFDM systems , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[23]  R. Clarke.  A statistical theory of mobile-radio reception , 1968 .

[24]  P. Duhamel,et al.  A subspace based blind and semi-blind channel identification method for OFDM systems , 1999, 1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304).

[25]  Sirikiat Lek Ariyavisitakul,et al.  Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels , 1999, IEEE J. Sel. Areas Commun..

[26]  Riccardo Raheli,et al.  Per-Survivor Processing: a general approach to MLSE in uncertain environments , 1995, IEEE Trans. Commun..

[27]  John H. Lodge,et al.  Maximum likelihood sequence estimation of CPM signals transmitted over Rayleigh flat-fading channels , 1990, IEEE Trans. Commun..

[28]  Anna Scaglione,et al.  Redundant filterbank precoders and equalizers. II. Blind channel estimation, synchronization, and direct equalization , 1999, IEEE Trans. Signal Process..

[29]  Georgios B. Giannakis,et al.  Transmitter redundancy for blind estimation and equalization of time- and frequency-selective channels , 2000, IEEE Trans. Signal Process..

[30]  L. Scharf,et al.  Statistical Signal Processing: Detection, Estimation, and Time Series Analysis , 1991 .

[31]  S. Appleby,et al.  Time, frequency and angular dispersion modelling in the underwater communications channel , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).

[32]  Monica Visintin,et al.  An advanced algorithm for improving DVB-T coverage in SFN , 1997 .

[33]  H. Trigui,et al.  Training sequence aided multichannel identification in the presence of interference and noise , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[34]  G. Giannakis.  Filterbanks for blind channel identification and equalization , 1997, IEEE Signal Processing Letters.

[35]  B. Sklar,et al.  Rayleigh fading channels in mobile digital communication systems Part I: Characterization , 1997, IEEE Commun. Mag..

[36]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[37]  Milica Stojanovic,et al.  Recent advances in high-speed underwater acoustic communications , 1996 .

[38]  D. Slepian.  Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case , 1978, The Bell System Technical Journal.

[39]  Per Ola Börjesson,et al.  OFDM channel estimation by singular value decomposition , 1996, Proceedings of Vehicular Technology Conference - VTC.

[40]  Masahiro Morikura,et al.  A simple adaptive channel estimation scheme for OFDM systems , 1999, Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324).

[41]  Subbarayan Pasupathy,et al.  Innovations-based MAP detection for time-varying frequency-selective channels , 2000, IEEE Trans. Commun..

[42]  David W. Matolak,et al.  Detection for a statistically known, time-varying dispersive channel , 1996, IEEE Trans. Commun..

[43]  Michail K. Tsatsanis,et al.  Pilot symbol assisted modulation in frequency selective fading wireless channels , 2000, IEEE Trans. Signal Process..

[44]  Ralf R. Müller,et al.  Pilot symbol assisted BPSK on Rayleigh fading channels with diversity: performance analysis and parameter optimization , 1998, IEEE Trans. Commun..

[45]  B. Unal,et al.  Sensitivity of semi-blind iterative MAP channel estimation for DS-CDMA systems , 2000 .

[46]  Mathew C. Valenti.  Iterative channel estimation for turbo codes over fading channels , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[47]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[48]  Mohamed Siala,et al.  Iterative rake receiver with map channel estimation for ds-cdma systems , 1999, Ann. des Télécommunications.

[49]  Lang Tong,et al.  Joint order detection and blind channel estimation by least squares smoothing , 1999, IEEE Trans. Signal Process..

[50]  Seong Rag Kim,et al.  An adaptive pilot symbol-aided MMSE receiver in fading channels , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).