Investigation of multilevel amplitude modulation for a dual-wavelength free-space optical communications system using realistic channel estimation and minimum mean-squared-error linear equalization

2008 ◽  
Vol 47 (29) ◽  
pp. 5378 ◽  
Author(s):  
Colin N. Reinhardt ◽  
Sermsak Jaruwatanadilok ◽  
Yasuo Kuga ◽  
Akira Ishimaru ◽  
James A. Ritcey
Keyword(s):  
Channel Estimation ◽  
Amplitude Modulation ◽  
Optical Communications ◽  
Free Space ◽  
Mean Squared Error ◽  
Free Space Optical ◽  
Linear Equalization ◽  
Minimum Mean Squared Error ◽  
Squared Error ◽  
Communications System

scholarly journals Differential pulse-amplitude modulation signalling for free-space optical communications

2019 ◽  
Vol 13 (4) ◽  
pp. 155-160 ◽  
Author(s):  
Mohammad Taghi Dabiri ◽  
Seyed Mohammad Sajad Sadough ◽  
Mohammad Ali Khalighi
Keyword(s):  
Amplitude Modulation ◽  
Optical Communications ◽  
Free Space ◽  
Pulse Amplitude ◽  
Differential Pulse ◽  
Pulse Amplitude Modulation ◽  
Free Space Optical

Investigation and Analysis of Data Rate for Free Space Optical Communications System Under Dust Conditions

2020 ◽  
Vol 113 (4) ◽  
pp. 2327-2338
Author(s):  
Mazin Ali A. Ali ◽  
Farouk Kh. Shaker ◽  
Haider A. Kadhum
Keyword(s):  
Optical Communications ◽  
Free Space ◽  
Data Rate ◽  
Free Space Optical ◽  
Communications System

Free-space optical communications system pointer

2003 ◽  
Author(s):  
Mark E. Rosheim ◽  
Gerald F. Sauter
Keyword(s):  
Optical Communications ◽  
Free Space ◽  
Free Space Optical ◽  
Communications System

Free space optical communications system with helical beams

2015 ◽  
Author(s):  
Rebeca Tudor ◽  
Mihai Kusko ◽  
Cristian Kusko ◽  
Mona Mihailescu
Keyword(s):  
Optical Communications ◽  
Free Space ◽  
Free Space Optical ◽  
Communications System

Free space optical communications system performance under atmospheric scattering and turbulence for 850 and 1550  nm operation

2016 ◽  
Vol 55 (26) ◽  
pp. 7276 ◽  
Author(s):  
Amr S. El-Wakeel ◽  
Nazmi A. Mohammed ◽  
Moustafa H. Aly
Keyword(s):  
Optical Communications ◽  
Free Space ◽  
System Performance ◽  
Free Space Optical ◽  
Atmospheric Scattering ◽  
Communications System

Iterative near–far resistant channel estimation by using a linear minimum mean squared error detector

2007 ◽  
Vol 42 (4) ◽  
pp. 537-542 ◽  
Author(s):  
Ahmet Rizaner ◽  
Hasan Amca ◽  
Kadri Hacıoğlu ◽  
Ali Hakan Ulusoy ◽  
Ansgar Scherb
Keyword(s):  
Channel Estimation ◽  
Mean Squared Error ◽  
Minimum Mean Squared Error ◽  
Squared Error ◽  
Error Detector

scholarly journals Comparative Analysis of Channel Estimation Techniques in SISO, MISO and MIMO Systems

2017 ◽  
Vol 63 (3) ◽  
pp. 299-304 ◽  
Author(s):  
Okoyeigbo Obinna ◽  
Okokpujie Kennedy ◽  
Omoruyi Osemwegie ◽  
Nkordeh Nsikan
Keyword(s):  
Channel Estimation ◽  
Power Consumption ◽  
Mean Squared Error ◽  
Data Rate ◽  
System Modelling ◽  
Estimation Techniques ◽  
Single Output ◽  
Minimum Mean Squared Error ◽  
Squared Error ◽  
Multiple Input

AbstractThe ever-growing need for high data rate, bandwidth efficiency, reliability, less complexity and less power consumption in our communication systems is on the increase. Modern techniques have to be developed and put in place to meet these requirements. Research has shown, that compared to conventional Single Input Single Output (SISO) systems, Multiple- Input Single Output (MISO), and Multiple-Input Multiple- Output (MIMO) can actually increase the data rate of a communication system, without actually requiring more transmit power or bandwidth. This paper aims at the investigation of the existing channel estimation techniques. Based on the pilot arrangement, the block type and comb type are compared, employing the Least Square estimation (L.S) and Minimum Mean Squared Error (MMSE) estimators. Pilots occupy bandwidth, minimizing the number of pilots used to estimate the channel, in order to allow for more bandwidth utilization for data transmission, without compromising the accuracy of the estimates is taken into consideration. Various channel interpolation techniques and pilot-data insertion ratio are investigated, simulated and compared, to determine the best performance technique with less complexity and minimum power consumption. As performance measures, the Mean Squared Error (MSE) and Bit Error Rate (BER) as a function of Signal to Noise power Ratio (SNR) of the different channel estimation techniques are plotted, in order to identify the technique with the most optimal performance. The complexity and energy efficiency of the techniques are also investigated. The system modelling and simulations are carried out using Matlab simulation package. The MIMO gives the optimum performance, followed by the MISO and SISO. This is as a result of the diversity and multiplexing gain experienced in the multiple antenna techniques using the STBC.

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