SIAM Review
Multi-Carrier Technologies for Wireless Communication
Multi-Carrier Technologies for Wireless Communication
Convex Optimization
Blind, adaptive channel shortening by sum-squared auto-correlation minimization (SAM)
IEEE Transactions on Signal Processing
Equalization for discrete multitone transceivers to maximize bitrate
IEEE Transactions on Signal Processing
Second-order statistical approaches to channel shortening in multicarrier systems
IEEE Transactions on Signal Processing
MAI and ICI of synchronous downlink MC-CDMA with frequency offset
IEEE Transactions on Wireless Communications
Performance degradation of OFDM systems due to Doppler spreading
IEEE Transactions on Wireless Communications
Frequency domain equalization for single-carrier broadband wireless systems
IEEE Communications Magazine
Maximum likelihood synchronization for OFDM using a pilot symbol: analysis
IEEE Journal on Selected Areas in Communications
PAPR analysis for SOFDM and NC-SOFDM systems in cognitive radio
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
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We study the problem of channel shortening in multicarrier modulation systems without training. We reformulate two existing methods, the sum-squared and the sum-absolute autocorrelation minimization algorithms (SAM and SAAM), into semidefinite programming to overcome their shortcoming of local convergence. We present the original SAM and SAAM cost functions into as a batch optimization problem before relaxing the original problem into globally convergent semidefinite programming algorithms. Our batch processor is superior to the original stochastic gradient algorithms in terms of achievable bit rate and signal to interference and noise ratio (SINR).