Blind multiuser detection for long-code CDMA systems with transmission-induced cyclostationarity
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Cyclostationarity: half a century of research
Signal Processing
Bibliography on cyclostationarity
Signal Processing
Frequency-shift zero-forcing time-varying equalization for doubly selective SIMO channels
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Wireless Communications
Time-varying channel estimation for OFDM with extended observation window
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
Hi-index | 35.68 |
Blind channel estimation for single-input multiple-output (SIMO) periodically time-varying channels is considered using only the second-order statistics of the data. The time-varying channel is assumed to be described by a complex exponential basis expansion model (CE-BEM). The linear prediction error method for blind identification of time-invariant channels is extended to time-varying channels represented by a CE-BEM. Sufficient conditions for identifiability are investigated. The cyclostationary nature of the received signal is exploited to consistently estimate the time-varying correlation function of the data from a single observation record. The proposed method requires the knowledge of the active basis functions but not the channel length (an upper bound suffices). Several existing methods require precise knowledge of the channel length. Equalization of the time-varying channel, given the estimated channel, is investigated. Computer simulation examples are presented to illustrate the approach and to compare it with two existing approaches.