Effect of Channel-Estimation Error on BER Performance in Cooperative Transmission

2009 ◽  
Vol 58 (4) ◽  
pp. 2083-2088 ◽  
Author(s):  
Seungyoup Han ◽  
Seongwoo Ahn ◽  
Eunsung Oh ◽  
Daesik Hong
Keyword(s):  
Channel Estimation ◽  
Estimation Error ◽  
Cooperative Transmission ◽  
Channel Estimation Error ◽  
Ber Performance

scholarly journals Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
O. Longoria-Gandara ◽  
R. Parra-Michel ◽  
M. Bazdresch ◽  
A. G. Orozco-Lugo
Keyword(s):  
Channel Estimation ◽  
Radio Channel ◽  
Estimation Error ◽  
Mimo Channel ◽  
Channel Estimation Error ◽  
Superimposed Training ◽  
Iterative Techniques ◽  
Alamouti Coding ◽  
The Impact ◽  
Ber Performance

This contribution describes a novel iterative radio channel estimation algorithm based on superimposed training (ST) estimation technique. The proposed algorithm draws an analogy with the data dependent ST (DDST) algorithm, that is, extracts the cycling mean of the data, but in this case at the receiver's end. We first demonstrate that this mean removal ST (MRST) applied to estimate a single-input single-output (SISO) wideband channel results in similar bit error rate (BER) performance in comparison with other iterative techniques, but with less complexity. Subsequently, we jointly use the MRST and Alamouti coding to obtain an estimate of the multiple-input multiple-output (MIMO) narrowband radio channel. The impact of imperfect channel on the BER performance is evidenced by a comparison between the MRST method and the best iterative techniques found in the literature. The proposed algorithm shows a good tradeoff performance between complexity, channel estimation error, and noise immunity.

scholarly journals Visible Light Communication with Input-Dependent Noise: Channel Estimation, Optimal Receiver Design and Performance Analysis

2021 ◽  
Author(s):  
MAYSA YASEEN ◽  
Malek Alsmadi ◽  
Ayse E. Canbilen ◽  
salama Ikki
Keyword(s):  
Channel Estimation ◽  
Visible Light ◽  
Data Transmission ◽  
Estimation Error ◽  
Visible Light Communication ◽  
Least Square ◽  
Channel Estimation Error ◽  
Closed Form Expression ◽  
Optimal Receiver ◽  
Ber Performance

<div>In this paper, single-input single-output (SISO) visible light communication (VLC) subject to signal-dependent shot noise (SDSN) is investigated. We discuss both channel estimation and data transmission. In the former, we introduce least square (LS) and maximum likelihood (ML) estimators. Moreover, we derive the Cram´er–Rao lower bound (CRLB) of the channel estimation error. With regard to data transmission, we present optimal and sub-optimal receiver designs and discuss their bit error rate (BER) performance. In particular, a closed-form expression of the BER is derived for a sub-optimal receiver using the on-off-keying (OOK) modulation technique. An approximated expression is then derived for the optimal receiver. Our analysis shows that the CRLB performance does not have a linear relation with the SDSN, thermal noise, or the fading channel. On the other hand, the SDSN has a dramatic effect on the channel estimation error bound, and it can degrade the BER performance. Increased performance degradation can also be noticed due to the joint effects of the channel estimation error and SDSN.</div>

scholarly journals Visible Light Communication with Input-Dependent Noise: Channel Estimation, Optimal Receiver Design and Performance Analysis

2021 ◽  
Author(s):  
MAYSA YASEEN ◽  
Malek Alsmadi ◽  
Ayse E. Canbilen ◽  
salama Ikki
Keyword(s):  
Channel Estimation ◽  
Visible Light ◽  
Data Transmission ◽  
Estimation Error ◽  
Visible Light Communication ◽  
Least Square ◽  
Channel Estimation Error ◽  
Closed Form Expression ◽  
Optimal Receiver ◽  
Ber Performance

<div>In this paper, single-input single-output (SISO) visible light communication (VLC) subject to signal-dependent shot noise (SDSN) is investigated. We discuss both channel estimation and data transmission. In the former, we introduce least square (LS) and maximum likelihood (ML) estimators. Moreover, we derive the Cram´er–Rao lower bound (CRLB) of the channel estimation error. With regard to data transmission, we present optimal and sub-optimal receiver designs and discuss their bit error rate (BER) performance. In particular, a closed-form expression of the BER is derived for a sub-optimal receiver using the on-off-keying (OOK) modulation technique. An approximated expression is then derived for the optimal receiver. Our analysis shows that the CRLB performance does not have a linear relation with the SDSN, thermal noise, or the fading channel. On the other hand, the SDSN has a dramatic effect on the channel estimation error bound, and it can degrade the BER performance. Increased performance degradation can also be noticed due to the joint effects of the channel estimation error and SDSN.</div>

Influence of Channel Estimation Error on MIMO Multiplexing Using Precoding in Downlink OFDM Radio Access

2009 ◽  
Vol E92-B (5) ◽  
pp. 1553-1562
Author(s):  
Takashi ISOGAI ◽  
Mamoru SAWAHASHI ◽  
Hidekazu TAOKA ◽  
Kenichi HIGUCHI
Keyword(s):  
Channel Estimation ◽  
Estimation Error ◽  
Channel Estimation Error ◽  
Radio Access
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