Iterative Joint Tone-Interference Cancellation and Decoding for MIMO-OFDM

In this paper, multi-input-multi-output orthogonal frequency-division multiplexing (MIMO-OFDM) is considered in the presence of multipath fading and multitone interference (MTI). The MIMO-OFDM system makes joint use of channel coding and orthogonal space-frequency block coding (OSFBC) on the transmit side and iterative processing on the receiver side for robustness and improved performance against the fading and MTI effects of the channel. The new iterative receiver is implemented by either an optimal a posteriori probability (APP) space-frequency detector or a soft-information-aided minimum-mean-squared-error (MMSE) combiner at its front end and a soft-input-soft-output channel decoder at its back end. An approximate error performance analysis is provided for the OSFBC-OFDM system under maximum-likelihood decoding to illustrate the interference mitigation efficiency of the system. Then, the two iterative receivers are compared in terms of their computational complexities and bit error rate (BER) performances. As depicted in the BER graphs, both iterative receivers provide an improvement in performance after only a few detection/decoding iterations. It is also shown that despite its suboptimality, the MMSE receiver has the potential to achieve a BER performance close to that of the APP detector at a significantly lower cost.

[1]  Marc Moeneclaey,et al.  Sensitivity of multiple-access techniques to narrow-band interference , 2001, IEEE Trans. Commun..

[2]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[3]  Xiaodong Wang,et al.  LDPC-based space-time coded OFDM systems over correlated fading channels: performance analysis and receiver design , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[4]  M. Simon,et al.  Coherent Detection of Frequency-Hopped Quadrature Modulations in the Presence of Jamming - Part I: QPSK and QASK Modulations , 1981, IEEE Transactions on Communications.

[5]  Charles W. Rhodes,et al.  Interference mitigation for improved DTV reception , 2005, IEEE Transactions on Consumer Electronics.

[6]  E. Lemois,et al.  New advances in multi-carrier spread spectrum techniques for tactical communications , 1998, IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201).

[7]  V. Strassen Gaussian elimination is not optimal , 1969 .

[8]  Hyundong Shin,et al.  Exact symbol error probability of orthogonal space-time block codes , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[9]  John Cocke,et al.  Optimal decoding of linear codes for minimizing symbol error rate (Corresp.) , 1974, IEEE Trans. Inf. Theory.

[10]  Seung Young Park,et al.  Complexity-reduced iterative MAP receiver for interference suppression in OFDM-based spatial multiplexing systems , 2004, IEEE Trans. Veh. Technol..

[11]  Luc Vandendorpe,et al.  MMSE turbo receiver for space-frequency bit-interleaved coded OFDM , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[12]  Erik G. Larsson,et al.  Orthogonal space-time block codes: maximum likelihood detection for unknown channels and unstructured interferences , 2003, IEEE Trans. Signal Process..

[13]  Hakan Deliç,et al.  Coded OFDM With Transmitter Diversity for Digital Television Terrestrial Broadcasting (Corrected)* , 2006, IEEE Transactions on Broadcasting.

[14]  Björn E. Ottersten,et al.  Interference robustness aspects of space-time block code-based transmit diversity , 2005, IEEE Transactions on Signal Processing.

[15]  Douglas B. Williams,et al.  A space-frequency transmitter diversity technique for OFDM systems , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[16]  Matti Latva-aho,et al.  Space-frequency turbo coded OFDM for future high data rate wideband radio systems , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[17]  Andrew C. Singer,et al.  Minimum mean squared error equalization using a priori information , 2002, IEEE Trans. Signal Process..

[18]  P.H.-Y. Wu On the complexity of turbo decoding algorithms , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[19]  B. Caron,et al.  Comparison of terrestrial DTV transmission systems: the ATSC 8-VSB, the DVB-T COFDM, and the ISDB-T BST-OFDM , 2000 .

[20]  Seung Young Park,et al.  Iterative receiver for joint detection and channel estimation in OFDM systems under mobile radio channels , 2004, IEEE Transactions on Vehicular Technology.

[21]  J.E.M. Nilsson,et al.  Wideband multi-carrier transmission for military HF communication , 1997, MILCOM 97 MILCOM 97 Proceedings.

[22]  Hakan Deliç,et al.  Performance Analysis for OFDMA in the Presence of Tone Interference , 2007, IEEE Transactions on Communications.

[23]  Andrew J. Viterbi,et al.  An Intuitive Justification and a Simplified Implementation of the MAP Decoder for Convolutional Codes , 1998, IEEE J. Sel. Areas Commun..

[24]  Helmut Bölcskei,et al.  Space-frequency coded broadband OFDM systems , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).