Description: HELP: coherent_ML_receiver
function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator)
Perform Maximum Likelihood Space Time Decoding. The function can be
computionnaly expensive if the modulation order is too large.
Input: - received signal
- channel matrix: H
- code_name: The code name ( Alamouti , OSTBC3 ,...)
- code_rate: The code rate ( 1 , 1/2 ,...)
- num_code: The code number (1,2,...)
- modulator object
Ouput: - separated data
Note: This function requires the Matlab Communication Toolbox
Reference:
[1]E.G. Larsson,P.Stoica. "Space-time block coding for wireless
communications", Cambridge Press,2003
- HELP: coherent_ML_receiver
function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator)
Perform Maximum Likelihood Space Time Decoding. The function can be
computionnaly expensive if the modulation order is too large.
Input: - received signal
- channel matrix: H
- code_name: The code name ( Alamouti , OSTBC3 ,...)
- code_rate: The code rate ( 1 , 1/2 ,...)
- num_code: The code number (1,2,...)
- modulator object
Ouput: - separated data
Note: This function requires the Matlab Communication Toolbox
Reference:
[1]E.G. Larsson,P.Stoica. "Space-time block coding for wireless
communications", Cambridge Press,2003
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Size: 1024 |
Author:dasu |
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Description:
function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator)
HELP: coherent_ML_receiver
Perform Maximum Likelihood Space Time Decoding. The function can be
computionnaly expensive if the modulation order is too large.
Input: - received signal
- channel matrix: H
- code_name: The code name ( Alamouti , OSTBC3 ,...)
- code_rate: The code rate ( 1 , 1/2 ,...)
- num_code: The code number (1,2,...)
- modulator object
Ouput: - separated data
Note: This function requires the Matlab Communication Toolbox
Reference:
[1]E.G. Larsson,P.Stoica. "Space-time block coding for wireless
communications", Cambridge Press,2003-
function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator)
HELP: coherent_ML_receiver
Perform Maximum Likelihood Space Time Decoding. The function can be
computionnaly expensive if the modulation order is too large.
Input: - received signal
- channel matrix: H
- code_name: The code name ( Alamouti , OSTBC3 ,...)
- code_rate: The code rate ( 1 , 1/2 ,...)
- num_code: The code number (1,2,...)
- modulator object
Ouput: - separated data
Note: This function requires the Matlab Communication Toolbox
Reference:
[1]E.G. Larsson,P.Stoica. "Space-time block coding for wireless
communications", Cambridge Press,2003
Platform: |
Size: 1024 |
Author:dasu |
Hits:
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The past decade has seen many advances in physical layer wireless communication theory and their implementation in wireless systems. This textbook takes a unified view of the fundamentals of wireless communication and explains the web of concepts underpinning these advances at a level accessible to an audience with a basic background in probability and digital communication. Topics covered include MIMO (multi-input, multi-output) communication, space-time coding, opportunistic communication, OFDM and CDMA. The concepts are illustrated using many examples from real wireless systems such as GSM, IS-95 (CDMA), IS-856 (1 x EV-DO), Flash OFDM and UWB (ultra-wideband). Particular emphasis is placed on the interplay between concepts and their implementation in real systems. An abundant supply of exercises and figures reinforce the material in the text. This book is intended for use on graduate courses in electrical and computer engineering and will also be of great interes Platform: |
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