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Browse Journals & Magazines > Communications, IEEE Transact ...> Volume:35 Issue:7 Help

Maximum-Likelihood Digital Data Sequence Estimation Over the Gaussian Channel with Unknown Carrier Phase

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1 Author(s)
Pooi Yuen Kam ; Nat. Univ. of Singapore, Kent Ridge, Singapore

We consider the problem of simultaneous ML estimation of data and carrier phase from a linear suppressed-carrier modulated signal received in the presence of additive white Gaussian noise. The ML detector of the data sequence is derived, and its error probability performance is analyzed. The result shows that the performance loss due to the unknown carrier phase can be reduced by increasing the sequence length. A suboptimum decision-aided subsequence-by-subsequence detector whose complexity does not increase exponentially with sequence length is proposed, and its performance is analyzed.

Published in:
Communications, IEEE Transactions on  (Volume:35 ,  Issue: 7 )

Date of Publication: Jul 1987

Page(s):
764 - 767
ISSN :
0090-6778
Digital Object Identifier :
10.1109/TCOM.1987.1096844
Product Type:
Journals & Magazines
Date of Current Version :
06 January 2003
Issue Date :
Jul 1987
Sponsored by :
IEEE Communications Society

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