A Joint Multi-cell Channel Estimation Algorithm Based on Minimum Mean Square Error Approach

Song Xiao-qin; Li Ke; Xue Qiang; Hu Ai-qun

doi:10.3724/SP.J.1146.2006.00524

Volume 29 Issue 11

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(11): 2589-2592

Song Xiao-qin, Li Ke, Xue Qiang, Hu Ai-qun. A Joint Multi-cell Channel Estimation Algorithm Based on Minimum Mean Square Error Approach[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2589-2592. doi: 10.3724/SP.J.1146.2006.00524

Citation:

Song Xiao-qin, Li Ke, Xue Qiang, Hu Ai-qun. A Joint Multi-cell Channel Estimation Algorithm Based on Minimum Mean Square Error Approach[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2589-2592. doi: 10.3724/SP.J.1146.2006.00524

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A Joint Multi-cell Channel Estimation Algorithm Based on Minimum Mean Square Error Approach

doi: 10.3724/SP.J.1146.2006.00524 cstr: 32379.14.SP.J.1146.2006.00524

Song Xiao-qin^{①②;李克},
Li Ke,
Xue Qiang,
Hu Ai-qun

Received Date: 2006-04-20
Rev Recd Date: 2006-09-27
Publish Date: 2007-11-19

Abstract

Abstract

The performance of joint detection depends highly on the accuracy of channel estimation. In an intra-frequency network, inter-cell interfering signals are treated as white noise in conventional channel estimators, which degrades the accuracy of channel estimation. In this paper, a Minimum Mean Square Error (MMSE) based joint multi-cell channel estimation algorithm is proposed. By including the strong interfering users of adjacent cells into the channel estimation matrix, the noise power is significantly reduced which guarantees more precise channel estimation. The newly proposed algorithm can be applied to both multi-cell joint detection and single cell joint detection. Compared with conventional Steiner channel estimation, the proposed algorithm shows much higher estimation accuracy and then greatly improves the performance of the TD-SCDMA system.

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References(1)

References

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