Data-Aided Channel Estimation for Poisson Channels With Inter-Symbol Interference

It has been shown that long pilots should be employed in a Poisson channel with inter-symbol interference to obtain accurate channel estimate, which may reduce the transmission efficiency. In this paper, an iterative data-aided channel estimation and signal detection algorithm is proposed with signi...

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Vydáno v:IEEE International Conference on Communications (2003) s. 1 - 6
Hlavní autoři: Liu, Beiyuan, Gong, Chen, Cheng, Julian, Xu, Zhengyuan
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2020
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ISSN:1938-1883
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Abstract It has been shown that long pilots should be employed in a Poisson channel with inter-symbol interference to obtain accurate channel estimate, which may reduce the transmission efficiency. In this paper, an iterative data-aided channel estimation and signal detection algorithm is proposed with significant shortened overhead but can approach the bit-error rate performance under perfect channel state information. In this algorithm, periodic pilots are not required and only one short pilot sequence is utilized to obtain a rough initial channel estimate, which will be strengthened and updated by iteratively employing the blockwise data symbols as additional pilots. It is proved that treating the detected data symbols as pilots is a biased estimation, where the bias is proportional to the bit-error rate. Numerical results show that the proposed approach employing only 20 initial pilots can approach the optimal bound. The same bound needs to be achieved by assigning at least 500 pilots using periodic pilot based channel estimation.
AbstractList It has been shown that long pilots should be employed in a Poisson channel with inter-symbol interference to obtain accurate channel estimate, which may reduce the transmission efficiency. In this paper, an iterative data-aided channel estimation and signal detection algorithm is proposed with significant shortened overhead but can approach the bit-error rate performance under perfect channel state information. In this algorithm, periodic pilots are not required and only one short pilot sequence is utilized to obtain a rough initial channel estimate, which will be strengthened and updated by iteratively employing the blockwise data symbols as additional pilots. It is proved that treating the detected data symbols as pilots is a biased estimation, where the bias is proportional to the bit-error rate. Numerical results show that the proposed approach employing only 20 initial pilots can approach the optimal bound. The same bound needs to be achieved by assigning at least 500 pilots using periodic pilot based channel estimation.
Author Liu, Beiyuan
Gong, Chen
Cheng, Julian
Xu, Zhengyuan
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  organization: University of Science and Technology of China,Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences,Hefei,Anhui,China,230027
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  givenname: Chen
  surname: Gong
  fullname: Gong, Chen
  organization: University of Science and Technology of China,Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences,Hefei,Anhui,China,230027
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  givenname: Julian
  surname: Cheng
  fullname: Cheng, Julian
  organization: The University of British Columbia,school of Engineering,Kelowna,BC,Canada,V1V 1V7
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  givenname: Zhengyuan
  surname: Xu
  fullname: Xu, Zhengyuan
  organization: University of Science and Technology of China,Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences,Hefei,Anhui,China,230027
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Snippet It has been shown that long pilots should be employed in a Poisson channel with inter-symbol interference to obtain accurate channel estimate, which may reduce...
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StartPage 1
SubjectTerms Blind equalizers
Channel estimation
Photonics
Receivers
Signal detection
Two dimensional displays
Wireless communication
Title Data-Aided Channel Estimation for Poisson Channels With Inter-Symbol Interference
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