Theoretical performance analysis of maximum likelihood sequence estimation in intensity modulated short-haul fiber optic links

2004 ◽  
Author(s):  
N. Alic ◽  
G.C. Papen ◽  
Y. Fainman
Keyword(s):  
Maximum Likelihood ◽  
Performance Analysis ◽  
Fiber Optic ◽  
Intensity Modulated ◽  
Sequence Estimation ◽  
Maximum Likelihood Sequence Estimation ◽  
Theoretical Performance

scholarly journals Signal Statistics and Maximum Likelihood Sequence Estimation in Intensity Modulated Fiber Optic Links Containing a Single Optical Pre-amplifier

2005 ◽  
Vol 13 (12) ◽  
pp. 4568 ◽  
Author(s):  
Nikola Alić ◽  
George C. Papen ◽  
Robert E. Saperstein ◽  
Laurence B. Milstein ◽  
Yeshaiahu Fainman
Keyword(s):  
Maximum Likelihood ◽  
Fiber Optic ◽  
Intensity Modulated ◽  
Sequence Estimation ◽  
Maximum Likelihood Sequence Estimation

scholarly journals Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model

2018 ◽  
Vol 7 (3) ◽  
pp. 38 ◽  
Author(s):  
Xiao-Li Hu ◽  
Pin-Han Ho ◽  
Limei Peng
Keyword(s):  
Maximum Likelihood ◽  
Performance Analysis ◽  
Theoretical Analysis ◽  
Numerical Experiments ◽  
Likelihood Estimation ◽  
Signal Strength ◽  
Strength Model ◽  
Transmit Power ◽  
Ml Estimation ◽  
Theoretical Performance

We study theoretical performance of Maximum Likelihood (ML) estimation for transmit power of a primary node in a wireless network with cooperative receiver nodes. The condition that the consistence of an ML estimation via cooperative sensing can be guaranteed is firstly defined. Theoretical analysis is conducted on the feasibility of the consistence condition regarding an ML function generated by independent yet not identically distributed random variables. Numerical experiments justify our theoretical discoveries.

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