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A Joint Channel Estimation Algorithm Based on Strong Paths Selection |
Song Xiao-qin①②; Hu Ai-qun①; Li Ke② |
①School of Information Science and Engineering, Southeast University, Nanjing 210096, China;
②TD-Tech Ltd., Beijing 100102, China |
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Abstract The higher complexity and the less number of the joint estimation interfering users are the main disadvantages of the high accuracy joint multi-cell channel estimation algorithm. A strong paths selection based joint channel estimation algorithm is proposed by fully considering the difference between the strong paths and week paths in the channel estimation results. It is shown from the complexity and Bit Error Rate (BER) performance analysis, the proposed algorithm can reduce 50% complexity algorithm and improve the BER performance slightly.
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Received: 15 August 2007
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