Sciweavers

114 search results - page 18 / 23
» Symbolic Simulation: An ACL2 Approach
Sort
View
TSP
2008
123views more  TSP 2008»
13 years 7 months ago
Blind and Semiblind Channel and Carrier Frequency-Offset Estimation in Orthogonally Space-Time Block Coded MIMO Systems
In this paper, the problem of joint channel and carrier frequency offset (CFO) estimation is studied in the context of multiple-input multiple-output (MIMO) communications based on...
Shahram Shahbazpanahi, Alex B. Gershman, Georgios ...
IWCMC
2006
ACM
14 years 1 months ago
Low complexity design of space-time convolutional codes with high spectral efficiencies
Space time convolutional codes (STCCs) are an effective way to combine transmit diversity with coding. The computational complexity of designing STCCs generally increases exponent...
Kyungmin Kim, Hamid R. Sadjadpour, Rick S. Blum, Y...
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
The Equivalence of Semidefinite Relaxation MIMO Detectors for Higher-Order QAM
In multi-input multi-output (MIMO) detection, semidefinite relaxation (SDR) has been shown to be an efficient high-performance approach. For BPSK and QPSK, it has been found that S...
Wing-Kin Ma, Chao-Cheng Su, Joakim Jalden, Tsung-H...
ICC
2007
IEEE
141views Communications» more  ICC 2007»
14 years 1 months ago
Iterative Turbo Channel Estimation for OFDM System over Rapid Dispersive Fading Channel
— Current OFDM systems assume the channel is not time varying within one OFDM frame, and use channel estimates obtained from preamble or pilots for data symbols within the same f...
Ming Zhao 0001, Zhenning Shi, Mark C. Reed
TSP
2008
90views more  TSP 2008»
13 years 7 months ago
Generalized Correlation Decomposition-Based Blind Channel Estimation in DS-CDMA Systems With Unknown Wide-Sense Stationary Noise
A new blind subspace-based channel estimation technique is proposed for direct-sequence code-division multiple access (DS-CDMA) systems operating in the presence of unknown wide-se...
Keyvan Zarifi, Alex B. Gershman