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Iterative MLSE for MIMO underwater acoustic channels
Fengzhong Qu
, Xiang Chen
, Pan Deng
, Liuqing Yang
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
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Scopus citations
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Dive into the research topics of 'Iterative MLSE for MIMO underwater acoustic channels'. Together they form a unique fingerprint.
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Keyphrases
Underwater Acoustic Channel
100%
Maximum Likelihood Estimation
100%
Multi-output
100%
Iterative Maximum Likelihood
100%
Underwater Acoustic Communication Channel
66%
Underwater Acoustic Communication
33%
Sea Experiment
33%
Channel Taps
33%
State Space
16%
Bit Error Rate
16%
Numerical Results
16%
Computational Complexity
16%
Reduced State
16%
Experiment Results
16%
Analytical Results
16%
Limited Bandwidth
16%
Sphere Decoder
16%
Wireless Applications
16%
Viterbi Algorithm
16%
Attractive Solutions
16%
Number of Channels
16%
Spreading Characteristics
16%
Inter-symbol Interference
16%
Delay Spread
16%
High Data Rate
16%
Long Delay
16%
Uncoded
16%
Estimation Scheme
16%
Estimation State
16%
Engineering
Maximum Likelihood
100%
Multi-Input Multi-Output
100%
Communication Channel
66%
Channel Tap
33%
Limited Bandwidth
16%
Intersymbol Interference
16%
Estimation Scheme
16%
High Data Rate
16%
Sphere Decoder
16%
Delay Spread
16%
Computational Complexity
16%
Transducer
16%
Bit Error Rate
16%
State Estimation
16%
Physics
Underwater Acoustics
100%
Transducer
14%
Bit Error Rate
14%
State Estimation
14%