TY - GEN
T1 - Array-based linear modulation classifier with two-stage CFO estimation in fading channels
AU - Li, Hong
AU - Abdi, Ali
AU - Bar-Ness, Yeheskel
AU - Su, Wei
PY - 2006
Y1 - 2006
N2 - Likelihood ratio test (LRT) -based linear modulation classifier is sensitive to unknown parameters, such as carrier frequency offset (CFO), phase shift, etc. An antenna array-based quasi-hybrid likelihood ratio test (qHLRT) approach is proposed to cope with the problem. A non-maximum likelihood (ML) estimator is employed to reduce the computational burden of multivariate maximization. A two-stage CFO estimation scheme is also proposed to increase the accuracy of CFO estimation. To combat channel fading, maximal ratio combining (MRC) technique is applied for CFO estimation as well as the computation of the likelihood functions. The Cramer-Rao lower bound (CRLB) of the proposed CFO estimation method is derived. It is shown that with nonlinear least-squares (NLS) algorithm and method-of-moment (MoM) algorithm to estimate phase and amplitude respectively, our scheme offers an effective and practical solution to recognize linear modulation formats in fading channels.
AB - Likelihood ratio test (LRT) -based linear modulation classifier is sensitive to unknown parameters, such as carrier frequency offset (CFO), phase shift, etc. An antenna array-based quasi-hybrid likelihood ratio test (qHLRT) approach is proposed to cope with the problem. A non-maximum likelihood (ML) estimator is employed to reduce the computational burden of multivariate maximization. A two-stage CFO estimation scheme is also proposed to increase the accuracy of CFO estimation. To combat channel fading, maximal ratio combining (MRC) technique is applied for CFO estimation as well as the computation of the likelihood functions. The Cramer-Rao lower bound (CRLB) of the proposed CFO estimation method is derived. It is shown that with nonlinear least-squares (NLS) algorithm and method-of-moment (MoM) algorithm to estimate phase and amplitude respectively, our scheme offers an effective and practical solution to recognize linear modulation formats in fading channels.
UR - http://www.scopus.com/inward/record.url?scp=50949105287&partnerID=8YFLogxK
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U2 - 10.1109/GLOCOM.2006.807
DO - 10.1109/GLOCOM.2006.807
M3 - Conference contribution
AN - SCOPUS:50949105287
SN - 142440357X
SN - 9781424403578
T3 - GLOBECOM - IEEE Global Telecommunications Conference
BT - IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
T2 - IEEE GLOBECOM 2006 - 2006 Global Telecommunications Conference
Y2 - 27 November 2006 through 1 December 2006
ER -