Pilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems
Tipus de documentText en actes de congrés
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
This paper proposes semi-blind channel estimation and interference cancellation schemes for the reception of pilot-aided signals in WCDMA systems. It is shown that the performance of classical training-based schemes is severely degraded due to the code-multiplexing (as opposed to time-multiplexing) of traffic and pilot signals. The time-dispersivity of the channel destroys the orthogonality between the traffic signal and the pilot, and consequently the traffic signal appears as a new interfering signal for the channel estimation/beamforming algorithm. In order to avoid this effect, we propose techniques that exploit both the presence of the training sequence and the structure of the traffic signal in a semi-blind fashion.
CitacióMestre, F., R. Fonollosa, J. Pilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems. A: IEEE International Symposium on Spread Spectrum Techniques & Applications. "2000 IEEE Sixth International Symposium on spread spectrum techniques and applications: 6-8 September 2000, Parsippany, NJ, USA: procceedings: communications for a new millenium". Parsippany, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2000, p. 239-243.
Versió de l'editorhttp://ieeexplore.ieee.org/document/878120/