Pilot-aided ML schemes for joint beamforming and channel estimation in WCDMA systems
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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.
CitationMestre, 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.
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