Please use this identifier to cite or link to this item:
|Title:||MAXIMUM LIKELIHOOD DIGITAL DATA SEQUENCE ESTIMATION OVER THE GAUSSIAN CHANNEL WITH UNKNOWN CARRIER PHASE.|
|Authors:||Kam, Pooi Yuen|
|Citation:||Kam, Pooi Yuen (1987-07). MAXIMUM LIKELIHOOD DIGITAL DATA SEQUENCE ESTIMATION OVER THE GAUSSIAN CHANNEL WITH UNKNOWN CARRIER PHASE.. IEEE Transactions on Communications COM-35 (7) : 764-767. ScholarBank@NUS Repository.|
|Abstract:||The problem of simultaneous maximum likelihood (ML) estimation of data and carrier phase from a linear suppressed-carrier modulated signal received in the presence of additive white Gaussian noise is considered. 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.|
|Source Title:||IEEE Transactions on Communications|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 15, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.