On the performance of data-dependent superimposed training without Cyclic Prefix for SISO/MIMO systems |
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| Authors: | Weina Yuan Ping Wang Pingzhi Fan |
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| Affiliation: | 1. Key Laboratory of Information Coding and Transmission,Southwest Jiaotong University,Chengdu 610031,China;School of Information Science and Engineering,East China Universtiy of Science and Technology,Shanghai 200237,China
2. Key Laboratory of Information Coding and Transmission,Southwest Jiaotong University,Chengdu 610031,China |
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| Abstract: | Compared with channel estimation method based on explicit training sequences,bandwidth is saved for those methods using superimposed training sequences,while it is wasted when Cyclic Prefix(CP) is added.In previous work of McLernon,the Mean Square Error(MSE) performance of Data-Dependent Superimposed Training(DDST) without CP for Single-Input Single-Output(SISO) system was analyzed under the assumption that the data-dependent sequence matrix was a circulant matrix and not interfered by others.In fact,for th... |
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| Keywords: | Data-Dependent Superimposed Training (DDST) Cyclic Prefix (CP) Multiple-Input- Multiple-Output (MIMO) |
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