Estimation and identification of time-varying long-term fading channels via the particle filter and the em algorithm

2011 IEEE Radio and Wireless Week, RWW 2011 - 2011 IEEE Radio and Wireless Symposium, RWS 2011

Volumn , Issue , 2011, Pages 13-16

  Ma, Xiao ^a   Olama, Mohammed M ^b   Djouadi, Seddik M ^a   Charalambous, Charalambos D ^c  

^a UNIVERSITY OF TENNESSEE   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

^c UNIVERSITY OF CYPRUS   (Cyprus)

Author keywords

EM algorithm; Long term fading; Particle filter

Indexed keywords

BROWNIAN MOTION; EM ALGORITHMS; ESTIMATION AND IDENTIFICATION; EXPECTATION-MAXIMIZATION ALGORITHMS; LINEAR STOCHASTIC DIFFERENTIAL EQUATIONS; LONG-TERM FADING; NUMERICAL RESULTS; PARTICLE FILTER; POWER PATH; RECEIVED SIGNAL STRENGTH; RECURSIVE ESTIMATION; TIME VARYING;

BROWNIAN MOVEMENT; DIFFERENTIAL EQUATIONS; ESTIMATION; FADING (RADIO); FADING CHANNELS; NONLINEAR FILTERING; TIME VARYING SYSTEMS;

ALGORITHMS;

EID: 79953083260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RWS.2011.5725492     Document Type: Conference Paper

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