2017
DOI: 10.1109/access.2017.2772302
|View full text |Cite
|
Sign up to set email alerts
|

Minimum Symbol-Error Rate Based Adaptive Decision Feedback Equalizer in Underwater Acoustic Channels

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 15 publications
(7 citation statements)
references
References 26 publications
0
7
0
Order By: Relevance
“…The received signal is equalized to suppress the ISI. Here we use the adaptive DFE based on the MSER criterion [5]. Both the receiver and transmitter share the training data.…”
Section: System Modelmentioning
confidence: 99%
See 3 more Smart Citations
“…The received signal is equalized to suppress the ISI. Here we use the adaptive DFE based on the MSER criterion [5]. Both the receiver and transmitter share the training data.…”
Section: System Modelmentioning
confidence: 99%
“…In this section, we compare the performance of the proposed scheme and the turbo equalization [5] through simulations, which use the same CIR as in [5]. We assume that the channel is time-invariant during a complete training and testing period.…”
Section: Simulation and Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…When n − (i + m) < n − k, that means i > k − m, only k − i bits of the previous bit pattern can be obtained. At this point, assuming that the remaining previous bits are '0', there are k − i previous bits that determine the value of w i , as shown in (11) and (12). The structure diagram of the DFE when i > k − m is shown in Fig.…”
Section: B Strcuture Of the Novel Dfe Based On Mbrmentioning
confidence: 99%