Asymptotic performance of ML channel estimators in WCDMA systems: Randomized codes approach

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2001, Pages 2201-2204

  Mestre, X ^a   Fonollosa, J R ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASYMPTOTIC STABILITY; COMMUNICATION CHANNELS (INFORMATION THEORY); MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL FILTERING AND PREDICTION; SPREAD SPECTRUM COMMUNICATION;

MAXIMUM LIKELIHOOD CHANNEL ESTIMATION ALGORITHMS; PERIODIC SPREADING SEQUENCE; WIDEBAND CODE DIVISION MULTIPLE ACCESS SYSTEMS;

CODE DIVISION MULTIPLE ACCESS;

EID: 0034853908     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. ML approaches to channel estimation for WCDMA systems: Asymptotic performance analysis
2. Performance study of conditional and unconditional DOA estimation
3. Cramér-Rao bounds for semi-blind, blind a training sequence-based channel estimation
4. Asymptotic performance of ML methods for semi-blind channel estimation
5. Partially blind estimation: ML-based approaches and Cramér-Rao bound
6. Effect of imperfect channel estimation on synchronous multi-rate DS/CDMA systems