IMPROVED CHANNEL ESTIMATION ALGORITHM BASED ON PARALLEL INTERFERENCE CANCELLATION

The conventional channel estimation algorithm currently used in the TD-SCDMA system doesn't work well when strong intra-frequency interfering neighbour cell users exist. Parallel interference cancellation (PIC) channel estimation algorithm by simultaneously eliminating the interference of adjacent cells was proposed in this paper to improve the accuracy of channel estimation. The proposed algorithm reconstructed the strong interference signal of each cell based on the knowledge of initial estimated channel impulse response (CIR) results of each cell. Then the interference of all the other cells was cancelled in-parallel to get a more clean signal for a more precise channel estimation of the target user. Simulations showed that a lower estimation error can be achieved by eliminating effectively the interference from strong interfering users in adjacent cells and then the performance of TD-SCDMA system was improved.