Results 351 to 360 of about 5,110,902 (386)
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Diversity with practical channel estimation
IEEE Transactions on Wireless Communications, 2005In this paper, we present a framework for evaluating the bit error probability of N/sub d/-branch diversity combining in the presence of non-ideal channel estimates. The estimator structure presented is based on the maximum-likelihood (ML) estimate and arises naturally as the sample mean of N/sub p/ pilot symbols.
Gifford W. M., Win M. Z., CHIANI, MARCO
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IEEE transactions on intelligent transportation systems (Print)
In frequency selective channel environment, channel estimation in hybrid precoding millimeter-wave (mmWave) massive multiple input multiple output (MIMO) system is a challenge issue.
Han Wang, Ping-Ping Xiao, Xingwang Li
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In frequency selective channel environment, channel estimation in hybrid precoding millimeter-wave (mmWave) massive multiple input multiple output (MIMO) system is a challenge issue.
Han Wang, Ping-Ping Xiao, Xingwang Li
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IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
Usage of passive intelligent surface (PIS) is emerging as a low-cost green alternative to massive antenna systems for realizing high energy beamforming (EB) gains. To maximize its realistic utility, we present a novel channel estimation (CE) protocol for
Deepak Mishra, H. Johansson
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Usage of passive intelligent surface (PIS) is emerging as a low-cost green alternative to massive antenna systems for realizing high energy beamforming (EB) gains. To maximize its realistic utility, we present a novel channel estimation (CE) protocol for
Deepak Mishra, H. Johansson
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Background on Channel Estimation
2014In this chapter, we introduce popular channel estimation approaches in the conventional point-to-point MIMO system, including the maximum likelihood (ML) estimation and minimum mean square error (MMSE) estimation, as well as their counterparts least square (LS) estimation and linear minimum mean square error (LMMSE) estimation.
Chengwen Xing, Feifei Gao, Gongpu Wang
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Blind noise and channel estimation
Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496), 2002In the classical methods for blind channel identification (subspace method, TXK, XBM) (Moulines et al, 1995; Tong et al, 1994; Xavier et al, 1997), the additive noise is assumed to be spatially white or known to within a multiplicative scalar. When the noise is non-white (colored or correlated) but has a known covariance matrix, we can still handle the
Frikel, M., Utschick, W., Nossek, J.
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Open‐channel estimation of denitrification
Limnology and Oceanography: Methods, 2003Estimates of denitrification based on standard methods often cannot easily be extrapolated to entire ecosystems because of high spatial heterogeneity in rates of denitrification. Diel changes in the concentration of dinitrogen (N2) in running waters provide the basis for estimating denitrification by an open‐channel technique in much the same way that ...
James H. McCutchan +3 more
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Simple estimators for HF channel estimation
Fourth IEEE Region 10 International Conference TENCON, 2003A comparison is made of four different estimators, for estimating the sampled impulse-response (SIR) of an HF radio link that is designed for the transmission of analog speech signals. The particular application studied is the transmission of digital data at 4800 bit/s, employing a serial quadrature phase shift keyed (QPSK) signal with a carrier ...
A.P. Clark, S. Hariharan
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Modified UWB channel estimation
2005 2nd Asia Pacific Conference on Mobile Technology, Applications and Systems, 2005Ultra wideband (UWB) wireless communication is a new type of radio communication. One of the main applications of UWB in the future focuses on wireless personal area networks (WPAN). Channel estimation is very important for OFDM based UWB system because of its coherent demodulation.
Bing Leng +3 more
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2019
In this chapter, we investigate the design of training sequences for time-multiplexed channel training in C-RANs. Orthogonal training sequences were shown to be optimal or nearly optimal in conventional MIMO systems, where the transmit antennas are co-located, and so are the receive antennas. However, orthogonal training design is very inefficient when
Xiaojun Yuan +2 more
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In this chapter, we investigate the design of training sequences for time-multiplexed channel training in C-RANs. Orthogonal training sequences were shown to be optimal or nearly optimal in conventional MIMO systems, where the transmit antennas are co-located, and so are the receive antennas. However, orthogonal training design is very inefficient when
Xiaojun Yuan +2 more
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Iterative decoding and channel estimation
2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060), 2002We investigate iterative decoding and channel estimation for multiple-access channels. Results are obtained concerning the fixed points of such iterations.
Alex Grant, Paul Dean Alexander
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