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

Closed Form Expression ◽

Optimal Receiver ◽

<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>

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

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2008.2007644 ◽

2009 ◽

Vol 58 (4) ◽

pp. 2083-2088 ◽

Cited By ~ 86

Author(s):

Seungyoup Han ◽

Seongwoo Ahn ◽

Eunsung Oh ◽

Daesik Hong

Keyword(s):

Channel Estimation ◽

Estimation Error ◽

Cooperative Transmission ◽

Block-Type Pilot Arrangement with Alternating Polarity for ICI Mitigation in Mobile OFDM Systems

Journal of Communications Software and Systems ◽

10.24138/jcomss.v9i3.147 ◽

2013 ◽

Vol 9 (3) ◽

pp. 178 ◽

Cited By ~ 2

Author(s):

Titiek Suryani ◽

Gamantyo Hendrantoro

Keyword(s):

Channel Estimation ◽

Doppler Shift ◽

Channel Model ◽

Estimation Error ◽

Least Square ◽

Piecewise Linear Approximation ◽

Modulation Scheme ◽

Block Type ◽

Time Varying

Improvement on Inter Carrier Interference (ICI)mitigation techniques for OFDM caused by Doppler effectsthrough minimizing channel estimation error and decreasingchannel time varying rate is investigated. The performanceof pilot-aided channel estimation techniques depends on pilot placement and arrangement and also on the channel time varying rate. The block-type and comb-type pilot arrangements are studied through different numbers of guard bands, with or without the involvement of the Doppler shift compensation. The estimation of channel at mid-point of each OFDM symbol is derived from pilot frequencies based on the least square algorithm while the channel interpolation is done using piecewise linear approximation. For ICI mitigation technique we implement frequency domain zero forcing equalizer. We compare the performance of schemes with different pilot arrangementsand Doppler shift compensations by measuring bit error rate with QPSK as sub-channel modulation scheme and with mobileto-fixed of single ring scattering as channel model. The results are in favour of block-type pilot arrangements with alternating polarity and Doppler compensation of 0:55 times the maximum Doppler shift.

Impact of Uncertain Channel Estimation and Outdated Feedback on the Adaptive M-PSK Modulation

Journal of Communications Software and Systems ◽

10.24138/jcomss.v10i1.140 ◽

2014 ◽

Vol 10 (1) ◽

pp. 51

Author(s):

Mohamed L. Ammari ◽

Francois Gagnon

Keyword(s):

Channel Estimation ◽

Estimation Error ◽

Error Variance ◽

Closed Form Expression ◽

Modulation Scheme ◽

Form Expression ◽

Pilot Symbols ◽

Modulation Techniques ◽

Modulation Level

This paper investigates an adaptive M-ary phaseshiftkeying (M-PSK) modulation scheme over Rayleigh flatfading channels. The data rate is adapted according to thechannel state. At the receiver, the fading is estimated using pilot symbols. To cancel the channel impact, we correct the received signal by dividing it by the estimated value of the fading. So, we propose to adjust the modulation level by examining the statistics of the corrected signal. In contrast to the previous works on the adaptive M-PSK modulation techniques, our modulation switching protocol takes into account the channel estimation error variance. Moreover, we derive a new closed-form expression for the average bit error rate of the considered system.

Effect of channel estimation error on M-QAM BER performance in Rayleigh fading

IEEE Transactions on Communications ◽

10.1109/26.809706 ◽

1999 ◽

Vol 47 (12) ◽

pp. 1856-1864 ◽

Cited By ~ 180

Author(s):

Xiaoyi Tang ◽

M.-S. Alouini ◽

A.J. Goldsmith

Keyword(s):

Channel Estimation ◽

Rayleigh Fading ◽

Estimation Error ◽

Iterative Mean Removal Superimposed Training for SISO and MIMO Channel Estimation

International Journal of Digital Multimedia Broadcasting ◽

10.1155/2008/535269 ◽

2008 ◽

Vol 2008 ◽

pp. 1-9 ◽

Cited By ~ 8

Author(s):

O. Longoria-Gandara ◽

R. Parra-Michel ◽

M. Bazdresch ◽

A. G. Orozco-Lugo

Keyword(s):

Channel Estimation ◽

Radio Channel ◽

Estimation Error ◽

Mimo Channel ◽

Superimposed Training ◽

Iterative Techniques ◽

Alamouti Coding ◽

The Impact ◽

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.