Matrix analysis
Subspace-based blind channel identification of SISO-FIR systems with improper random inputs
Signal Processing - Signal processing in communications
QR factorization based blind channel identification withsecond-order statistics
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Performance analysis of the minimum variance beamformer
IEEE Transactions on Signal Processing
Performance analysis of the minimum variance beamformer in thepresence of steering vector errors
IEEE Transactions on Signal Processing
A semi-blind channel estimation technique based on second-order blind method for CDMA systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On blind multiuser forward link channel estimation by the subspacemethod: identifiability results
IEEE Transactions on Signal Processing
Asymptotic analysis of blind multiuser detection with blind channel estimation
IEEE Transactions on Signal Processing
Blind channel identification: subspace tracking method without rankestimation
IEEE Transactions on Signal Processing
The blind widely linear minimum output energy algorithm for DS-CDMA systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Widely linear estimation with complex data
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Finite-Sample Performance Analysis of Widely Linear Multiuser Receivers for DS-CDMA Systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Performance of blind and group-blind multiuser detectors
IEEE Transactions on Information Theory
Large-sample performance of blind and Group-blind multiuser detectors: a perturbation perspective
IEEE Transactions on Information Theory
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
The complex Gaussian kernel LMS algorithm
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Hi-index | 35.68 |
In a recent paper [A. S. Cacciapuoti et al, "Finite-Sample Performance Analysis of Widely Linear Multiuser Receivers in DS-CDMA Systems, IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 56, no. 4, pp. 1572-1588, Apr. 2008], we presented the finite-sample theoretical performance comparison between linear (L) and widely linear (WL) minimum output-energy (MOE) receivers for direct-sequence code-division multiple-access (DS-CDMA) systems, worked out under the assumption that the channel impulse response of the desired user is exactly known. The main scope of this paper is to extend such an analysis, taking into account not only autocorrelation matrix (ACM) estimation effects, but also the accuracy of subspace-based blind channel estimation (CE). We aim to answer the two following questions: Which of the two estimation processes (ACM or CE) is the main source of degradation when implementing the receivers on the basis of a finite sample-size? Compared with the L-MOE one, is the finite-sample WL-MOE receiver with blind CE capable of achieving the performance gains predicted by the theory? To this goal, simple and easily interpretable formulas are developed for the signal-to-interference-plus-noise ratio (SINR) at the output of the L-and WL-MOE receivers with blind CE, when they are implemented using either the sample ACM or its eigendecomposition. In addition, the derived formulas, Which are validated by simulations, allow one to recognize and discuss interesting tradeoffs between the main parameters of the DS-CDMA system.