| Joint-state differential detection algorithm and its application in UWB wireless communication systems |
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| 作者单位： | ZHANG Peng（National Mobile Communication Research Laboratory, Southeast University, Nanjing 210096, China） ;
BI GuangGuo（National Mobile Communication Research Laboratory, Southeast University, Nanjing 210096, China） ;
CAO XiuYing（National Mobile Communication Research Laboratory, Southeast University, Nanjing 210096, China） ; |
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| 基金项目： | 国家自然科学基金;中国博士后科学基金 |
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| 摘 要： | In this paper, a novel concept of the joint state of input and output of encoder is proposed. Based on it, a recursive algorithm that implements the multi-symbol differential detection in criterion of maximum likelihood is proposed. Simulation results show that its performance can approach to the theoretical boundary of multi-symbol differential detection without increasing the complexity per symbol, and it is effective in practical systems. It is also an optimal algorithm to solve the problems of estimating the state sequence of finite-state Markov process observed in memoryless noise.
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| 收稿时间： | 2 August 2006 |
| 修稿时间： | 2 March 2007 |
Joint-state differential detection algorithm and its application in UWB wireless communication systems |
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| Authors: | Zhang Peng Bi GuangGuo Cao XiuYing |
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| Affiliation: | National Mobile Communication Research Laboratory, Southeast University, Nanjing 210096, China |
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| Abstract: | In this paper, a novel concept of the joint state of input and output of encoder is proposed. Based on it, a recursive algorithm that implements the multi-symbol differential detection in criterion of maximum likelihood is proposed. Simulation results show that its performance can approach to the theoretical boundary of multi-symbol differential detection without increasing the complexity per symbol, and it is effective in practical systems. It is also an optimal algorithm to solve the problems of estimating the state sequence of finite-state Markov process observed in memoryless noise. |
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| Keywords: | differential detection maximum likelihood joint state iteration |
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