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Reduced complexity joint iterative equalization and multiuser detection in dispersive DS-CDMA channels
Husheng Li,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Center for Statistics & Machine Learning
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Reduced complexity joint iterative equalization and multiuser detection in dispersive DS-CDMA channels'. Together they form a unique fingerprint.
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Mathematics
Algorithm Complexity
25%
Bit Error Rate
30%
Code Division multiple Access
26%
Communication
17%
Computational Complexity
17%
Decision Feedback
33%
Decoding
20%
DS-CDMA
100%
Equalization
83%
Error Control
22%
Interference
21%
Interference Cancellation
37%
Maximum a Posteriori
24%
Multiple Access Channel
29%
Multiple Access Interference
34%
Multiuser Detection
99%
Performance
33%
Signal-to-noise Ratio
23%
Simulation
11%
Engineering & Materials Science
Bit error rate
17%
Code division multiple access
52%
Communication
9%
Computational complexity
15%
Decoding
15%
Error detection
20%
Feedback
11%
Multiple access interference
23%
Multiuser detection
69%
Signal to noise ratio
15%