Properties, performance and practical interest of the widely linear MMSE beamformer for nonrectilinear signals

Widely Linear (WL) Minimum Mean Square Error (MMSE) estimation has received a great interest these last 20 years for second order (SO) noncircular signals. In the context of radio communications networks, it has been shown in particular that WL MMSE receivers allow to implement Single Antenna Interference Cancellation (SAIC) of one rectilinear interference, such as Binary Phase Shift Keying (BPSK) or Amplitude Shift Keying (ASK) interference, or of quasi-rectilinear interference, such as Minimum Shift keying (MSK), Gaussian MSK (GMSK) or Offset Quadrature Amplitude Modulation (OQAM) interference, hence their great interest for Global System for Mobile Communications (GSM) cellular networks in particular. However, one may wonder whether WL MMSE receivers remain attractive for SO noncircular nonrectilinear interferences, not so scarce in practice. The purpose of this paper is mainly to answer to this important question by giving, in a self-contained and unified way, some new insights into the behavior, properties and performance of the WL MMSE beamformer in the presence of arbitrary noncircular signals and interference which are not necessarily rectilinear. It is shown in particular that, surprisingly, WL MMSE receivers lose their practical interest for strong interferences which are not rectilinear. This breakthrough thus generates a new open problem for the choice between linear and WL MMSE receiver corresponding to the detection of rectilinearity (and/or quasi-rectilinearity), instead of noncircularity, in a given noisy observation. Although this question is out of the scope of this paper, we finally propose preliminary tools based on blind source separation methods to solve this problem. HighlightsThe WL MMSE beamformer is collinear to a WL MVDR beamformer depending on the circularity coefficient of the SOI.The WL MMSE beamformer may process more than N - 1 interferences when at least two received sources are rectilinear.For a strong SOI, there is a weak interest to adapt the WL beamformer to noncircular nonrectilinear interferences.This motivates the development of processing to detect the presence of rectilinear sources in the observations.It is crucial to estimate and to compensate the frequency offsets of rectilinear sources before their processing.

[1]  Pascal Chevalier Optimal time invariant and widely linear spatial filtering for radiocommunications , 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

[2]  Pascal Chevalier,et al.  New insights into optimal widely linear array receivers for the demodulation of BPSK, MSK, and GMSK signals corrupted by noncircular interferences-application to SAIC , 2006, IEEE Transactions on Signal Processing.

[3]  J. Capon High-resolution frequency-wavenumber spectrum analysis , 1969 .

[4]  P. Laguna,et al.  Signal Processing , 2002, Yearbook of Medical Informatics.

[5]  Philippe Loubaton,et al.  Separation of convolutive mixtures of linear modulated signals using constant modulus algorithm , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[6]  Dirk T. M. Slock,et al.  Performance bounds for cochannel interference cancellation within the current GSM standard , 2000, Signal Process..

[7]  John G. Proakis,et al.  Digital Communications , 1983 .

[8]  Jacob Benesty,et al.  On widely linear Wiener and tradeoff filters for noise reduction , 2010, Speech Commun..

[9]  Jean Pierre Delmas,et al.  Sensitiviy of SAIC and MAIC concepts to residual frequency offsets , 2010, 2010 18th European Signal Processing Conference.

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

[11]  Pierre Comon,et al.  Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .

[12]  Lajos Hanzo,et al.  Adaptive beamforming for binary phase shift keying communication systems , 2007, Signal Process..

[13]  L. Scharf,et al.  Statistical Signal Processing of Complex-Valued Data: Notation , 2010 .

[14]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[15]  L. J. Griffiths,et al.  An alternative approach to linearly constrained adaptive beamforming , 1982 .

[16]  Pascal Chevalier,et al.  Widely Linear MVDR Beamformers for the Reception of an Unknown Signal Corrupted by Noncircular Interferences , 2007, IEEE Transactions on Signal Processing.

[17]  Kiran Kuchi,et al.  Performance evaluation for widely linear demodulation of PAM/QAM signals in the presence of rayleigh fading and co-channel interference , 2009, IEEE Transactions on Communications.

[18]  Jean Pierre Delmas,et al.  Optimal widely linear MVDR beamforming for noncircular signals , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[19]  William A. Gardner,et al.  Signal interception: a unifying theoretical framework for feature detection , 1988, IEEE Trans. Commun..

[20]  Alexander Lampe,et al.  Asymptotic analysis of widely linear MMSE multiuser detection-complex vs real modulation , 2001, Proceedings 2001 IEEE Information Theory Workshop (Cat. No.01EX494).

[21]  J. Capon,et al.  Multidimensional maximum-likelihood processing of a large aperture seismic array , 1967 .

[22]  Bernard C. Picinbono,et al.  On circularity , 1994, IEEE Trans. Signal Process..

[23]  Kiran Kuchi,et al.  Interference cancellation enhancement through generalized widely linear equalization in QAM systems , 2009, IEEE Transactions on Wireless Communications.

[24]  Florian Dupuy,et al.  Widely Linear Alamouti Receiver for the Reception of Real-Valued Constellations Corrupted by Interferences—The Alamouti-SAIC/MAIC Concept , 2011, IEEE Transactions on Signal Processing.

[25]  Pascal Chevalier,et al.  Second-Order Optimal Array Receivers for Synchronization of BPSK, MSK, and GMSK Signals Corrupted by Noncircular Interferences , 2007, EURASIP J. Adv. Signal Process..

[26]  Jacob Benesty,et al.  A Widely Linear Distortionless Filter for Single-Channel Noise Reduction , 2010, IEEE Signal Processing Letters.

[27]  Anne Ferréol,et al.  On the behavior of current second and higher order blind source separation methods for cyclostationary sources , 2000, IEEE Trans. Signal Process..

[28]  Markus Gerald Konrad,et al.  Interference Robust Transmission for the Downlink of an OFDM-Based Mobile Communications System , 2008, EURASIP J. Wirel. Commun. Netw..

[29]  Philippe Loubaton,et al.  Separation of Convolutive Mixtures of Cyclostationary Sources: A Contrast Function Based Approach , 2004, ICA.

[30]  Danilo P. Mandic,et al.  Complex Valued Nonlinear Adaptive Filters , 2009 .

[31]  D. Mandic,et al.  Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models , 2009 .

[32]  Robert Schober,et al.  A single antenna interference cancellation algorithm for increased gsm capacity , 2006, IEEE Transactions on Wireless Communications.