Bounds on SIMO and MIMO Channel Estimation and Equalization with Side Information
Journal of VLSI Signal Processing Systems
CMA-Based Channel Estimation for Space-Time Block Coding Transmission Systems
Wireless Personal Communications: An International Journal
Tensor-based techniques for the blind separation of DS-CDMA signals
Signal Processing
Fast adaptive blind MMSE equalizer for multichannel FIR systems
EURASIP Journal on Applied Signal Processing
Blind paraunitary equalization
Signal Processing
Blind paraunitary equalization
Signal Processing
A Practical Space-Code Correlator Receiver for DSP Based Software Radio Implementation in CDMA2000
Wireless Personal Communications: An International Journal
Spectrum sharing in wireless networks via QoS-aware secondary multicast beamforming
IEEE Transactions on Signal Processing
Source separation applied to heartbeat Doppler radar
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Adaptive analytical MMA with time-varying MIMO channels and diversity in interception context
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
IEEE Transactions on Communications
Noncircularity-rate maximization: a new approach to adaptive blind beamforming
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Noncircularity restoral for multi-antenna blind beamforming
Multidimensional Systems and Signal Processing
Imposing independence constraints in the CP model
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Analog beamforming in MIMO communications with phase shift networks and online channel estimation
IEEE Transactions on Signal Processing
Batch and adaptive PARAFAC-based blind separation of convolutive speech mixtures
IEEE Transactions on Audio, Speech, and Language Processing
QML-based joint diagonalization of positive-definite hermitian matrices
IEEE Transactions on Signal Processing
A low complexity blind estimator of narrowband polynomial phase signals
IEEE Transactions on Signal Processing
Bounded component analysis of linear mixtures: a criterion of minimum convex perimeter
IEEE Transactions on Signal Processing
Improved MUSIC by exploiting both real and complex sources
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
FPGA Based Implementation and Comparison of Beamformers for CDMA2000
Wireless Personal Communications: An International Journal
Multihomogeneous polynomial decomposition using moment matrices
Proceedings of the 36th international symposium on Symbolic and algebraic computation
Space-Time Blind Multiuser Detection for Multiuser DS-CDMA and Oversampled Systems
Wireless Personal Communications: An International Journal
Second-Order blind identification of underdetermined mixtures
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Software radio implementation of a smart antenna system on digital signal processors for cdma2000
CIT'04 Proceedings of the 7th international conference on Intelligent Information Technology
ICA over finite fields-Separability and algorithms
Signal Processing
An algebraic method for approximate rank one factorization of rank deficient matrices
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
General tensor decomposition, moment matrices and applications
Journal of Symbolic Computation
Blind image deconvolution using a banded matrix method
Numerical Algorithms
| Hi-index | 35.70 |
Iterative constant modulus algorithms such as Godard (1980) and CMA have been used to blindly separate a superposition of cochannel constant modulus (CM) signals impinging on an antenna array. These algorithms have certain deficiencies in the context of convergence to local minima and the retrieval of all individual CM signals that are present in the channel. We show that the underlying constant modulus factorization problem is, in fact, a generalized eigenvalue problem, and may be solved via a simultaneous diagonalization of a set of matrices. With this new analytical approach, it is possible to detect the number of CM signals present in the channel, and to retrieve all of them exactly, rejecting other, non-CM signals. Only a modest amount of samples is required. The algorithm is robust in the presence of noise and is tested on measured data collected from an experimental set-up