Universal Linear Precoding for NBI-Proof Widely Linear Equalization in MC Systems

In multicarrier (MC) systems, transmitter redundancy, which is introduced by means of finite-impulse response (FIR) linear precoders, allows for perfect or zero-forcing (ZF) equalization of FIR channels (in the absence of noise). Recently, it has been shown that the noncircular or improper nature of some symbol constellations offers an intrinsic source of redundancy, which can be exploited to design efficient FIR widely-linear (WL) receiving structures for MC systems operating in the presence of narrowband interference (NBI). With regard to both cyclic-prefixed and zero-padded transmission techniques, it is shown in this paper that, with appropriately designed precoders, it is possible to synthesize in both cases WL-ZF universal equalizers, which guarantee perfect symbol recovery for any FIR channel. Furthermore, it is theoretically shown that the intrinsic redundancy of the improper symbol sequence also enables WL-ZF equalization, based on the minimum mean output-energy criterion, with improved NBI suppression capabilities. Finally, results of numerical simulations are presented, which assess the merits of the proposed precoding designs and validate the theoretical analysis carried out.

[1]  Louis L. Scharf,et al.  Signal processing applications of oblique projection operators , 1994, IEEE Trans. Signal Process..

[2]  Donatella Darsena,et al.  NBI-resistant zero-forcing equalizers for OFDM systems , 2005, IEEE Communications Letters.

[3]  G. Styan,et al.  Equalities and Inequalities for Ranks of Matrices , 1974 .

[4]  James L. Massey,et al.  Proper complex random processes with applications to information theory , 1993, IEEE Trans. Inf. Theory.

[5]  Sergio Benedetto,et al.  Principles of Digital Transmission: With Wireless Applications , 1999 .

[6]  Zhi Ding,et al.  Single-channel blind equalization for GSM cellular systems , 1998, IEEE J. Sel. Areas Commun..

[7]  Anna Scaglione,et al.  Redundant filterbank precoders and equalizers. I. Unification and optimal designs , 1999, IEEE Trans. Signal Process..

[8]  Stephan V. Schell A separability theorem for 2M conjugate-symmetric signals impinging on an M-element sensor array , 1997, IEEE Trans. Signal Process..

[9]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[10]  Georgios B. Giannakis,et al.  Wireless multicarrier communications , 2000, IEEE Signal Process. Mag..

[11]  Anna Scaglione,et al.  Filterbank Transceivers Optimizing Information Rate in Block Transmissions over Dispersive Channels , 1999, IEEE Trans. Inf. Theory.

[12]  Giacinto Gelli,et al.  Blind subspace-based channel identification for quasi-synchronous MC-CDMA systems employing improper data symbols , 2006, 2006 14th European Signal Processing Conference.

[13]  John M. Cioffi,et al.  Understanding Digital Subscriber Line Technology , 1999 .

[14]  Donatella Darsena,et al.  Subspace-based blind channel identification of SISO-FIR systems with improper random inputs , 2004, Signal Process..

[15]  Visa Koivunen,et al.  Complex random vectors and ICA models: identifiability, uniqueness, and separability , 2005, IEEE Transactions on Information Theory.

[16]  Mario Tanda,et al.  Blind Frequency-Offset Estimation for OFDM/OQAM Systems , 2007, IEEE Transactions on Signal Processing.

[17]  Donatella Darsena,et al.  Widely linear equalization and blind channel identification for interference-contaminated multicarrier systems , 2005, IEEE Transactions on Signal Processing.

[18]  John A. C. Bingham,et al.  Theory and Practice of Modem Design , 1988 .

[19]  Donatella Darsena,et al.  A Constrained Maximum-SINR NBI-Resistant Receiver for OFDM Systems , 2007, IEEE Transactions on Signal Processing.

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

[21]  Erchin Serpedin,et al.  A fine blind frequency offset estimator for OFDM/OQAM systems , 2004, IEEE Transactions on Signal Processing.

[22]  G. Giannakis,et al.  Wireless Multicarrier Communications where Fourier Meets , 2022 .

[23]  Georgios B. Giannakis,et al.  Blind channel identification and equalization with modulation-induced cyclostationarity , 1998, IEEE Trans. Signal Process..

[24]  Pascal Chevalier,et al.  Widely linear estimation with complex data , 1995, IEEE Trans. Signal Process..

[25]  P. Loubaton,et al.  Blind second-order identification of FIR channels: forced cyclostationarity and structured subspace method , 1997, IEEE Signal Processing Letters.

[26]  Robert Schober,et al.  Receivers with widely linear processing for frequency-selective channels , 2003, IEEE Trans. Commun..

[27]  Giacinto Gelli,et al.  On the existence of FIR zero-forcing equalizers for nonredundantly precoded transmissions through FIR channels , 2005, IEEE Signal Processing Letters.

[28]  Pierre Siohan,et al.  Analysis and design of OFDM/OQAM systems based on filterbank theory , 2002, IEEE Trans. Signal Process..

[29]  Vinod Subramaniam,et al.  Digital video broadcasting (DVB); framing structure, channel coding and modulation for digital terr , 2001 .

[30]  Donatella Darsena,et al.  Joint equalisation and interference suppression in OFDM systems , 2003 .

[31]  Louis L. Scharf,et al.  Second-order analysis of improper complex random vectors and processes , 2003, IEEE Trans. Signal Process..

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

[33]  Georgios B. Giannakis,et al.  Cyclic prefixing or zero padding for wireless multicarrier transmissions? , 2002, IEEE Trans. Commun..