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Paper data
A blind particle filtering detector for joint channel estimation, tracking and data detection over flat fading channels

Huang Yufei,
Djuric Petar,

Page numbers in the proceedings:
Volume III pp 331-334

Channel Estimation and Equalization

Paper abstract
A new particle filtering detector is proposed for joint estimation of channel model coefficients, channel tracking, and signal detection over flat Rayleigh fading channels. The detector employs a hybrid importance function and a mixture Kalman filter which result in a highly efficient implementation. In addition, by considering the practical limitation of the system and physical interpretation of the adopted AR(2) channel model, we realize a fully blind particle filtering implementation. Simulation are provided to show the performance of the proposed detector.

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