Near-optimal multiuser detection in synchronous CDMA using probabilistic data association

IEEE Communications Letters

Volumn 5, Issue 9, 2001, Pages 361-363

  Luo, J ^a,b   Pattipati, K R ^a,b   Willett, P K ^a,b   Hasegawa, F ^a,b  

^a IEEE   (United States)

^b University of Connecticut   (United States)

Author keywords

Code division multiple access; Multiuser detection; Probabilistic data association

Indexed keywords

PROBABILISTIC DATA ASSOCIATION (PDA);

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); ITERATIVE METHODS; SIGNAL DETECTION;

CODE DIVISION MULTIPLE ACCESS;

EID: 0035439288     PISSN: 10897798     EISSN: None     Source Type: Journal    
DOI: 10.1109/4234.951377     Document Type: Article

References (10)

1. Linear multiuser detectors for synchronous code-devision multiple-access channels
2. Near-optimum detection in synchronous code-division multiple access systems
3. Decorrelating decision-feedback multiuser detector for synchronous code-division multiple-access channel
4. Group detection for synchronous Gaussian code-division multiple-access channels
5. Decision feedback multiuser detection: A systematic approach
6. A class of coordinate descent methods for multiuser detection
7. Optimal grouping algorithm for a group decision feedback detector in synchronous code division multi-access communications
8. Updating the inverse of a matrix