| Publisher | University of California | ||
|---|---|---|---|
| Format | 107.8KB PDF | Date added | 08 Nov 2006 |
| Topics | Mobile - Wireless Communications, TDMA - CDMA | ||
| Downloads | 36 | ||
This paper studies detection of CDMA signals based on Kalman filter. In the absence of both training symbols and the knowledge about multipath channel parameters, the system can be exactly fit into the Kalman model. By defining combination of channel and transmitted signals as state variables, the state transition matrix and measurement matrix are derived without approximations. The covariance of process noise in the proposed algorithm is recursively estimated from the estimated states, different from all existing approaches where channel parameters are assumed known or estimated by other methods. Therefore the proposed structure is much simpler and easy to implement.
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