Digital spectral analysis: with applications
Digital spectral analysis: with applications
On the equivalence between the super-exponential algorithm and a gradient search method
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Blind equalization for correlated input symbols: A Bussgang approach
IEEE Transactions on Signal Processing
Blind and semi-blind equalization of CPM signals with the EMV algorithm
IEEE Transactions on Signal Processing
Blind and semi-blind equalization based on the constant power criterion
IEEE Transactions on Signal Processing
Bussgang-zero crossing equalization: an integrated HOS-SOS approach
IEEE Transactions on Signal Processing
Channel estimation using implicit training
IEEE Transactions on Signal Processing
Efficient decision feedback equalization for sparse wireless channels
IEEE Transactions on Wireless Communications
Sparse Channel Estimation with Zero Tap Detection
IEEE Transactions on Wireless Communications
Is blind channel estimation feasible in mobile communication systems? A study based on GSM
IEEE Journal on Selected Areas in Communications
Single-channel blind equalization for GSM cellular systems
IEEE Journal on Selected Areas in Communications
A multiresolution approach for texture synthesis using the circular harmonic functions
IEEE Transactions on Image Processing
Maximum-likelihood semiblind equalization of doubly selective channels using the EM algorithm
EURASIP Journal on Advances in Signal Processing - Special issue on advanced equalization techniques for wireless communications
| Hi-index | 35.68 |
In this correspondence, we describe a semiblind Bussgang equalization scheme that incorporates the training sequence in a quite direct and flexible fashion. Among others, we discuss how the training sequence can be used to control the Bussgang nonlinearity thus enforcing the convergence of the iterative equalizer design. Moreover, we focus on the case of channels whose impulse response is long but sparse, counteracted by equalizers designed on a suitable sparse support. Numerical performance analysis conducted on compact and sparse time-varying channels shows that sparse Bussgang semiblind equalizer using a short training sequence outperforms blind, trained, and decision directed equalizers in a variety of fading conditions.