Research Article | OPEN ACCESS
Design the MC-CDMA System with LS-PSO Channel Estimation Based FPGA
1,2Ali Kareem Nahar, 1Yusnita Rahayu and 3Ali Y. Jaber
1Faculty of Electrical and Electronic Engineering, University Malaysia Pahang, Pekan 26600, Malaysia
2Department of Electrical Engineering, Universities of Technology, Baghdad, Iraq
3Razak School for Engineering and Advance Technology, UTM, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2015 9:1051-1061
Received: March 19, 2015 | Accepted: April 1, 2015 | Published: July 25, 2015
Abstract
The aim of study, providing the best BER performance in channel estimation for Multi Carrier-Code Division Multiple Access (MC-CDMA) system and flexible manner, FPGA design, is using a combination of the SIMULINK family of products, XILINX system generators, XILINX and MATLAB which is suitable for rapid design and verification. In MC-CDMA system, channel estimation is a very important method to work around the influence of channel fadings which jamming pilot symbols and caused BER degradation. That the market for wireless communications infrastructure matures equipment vendors are under increasing pressure to provide low cost solutions for operators and reduce wireless technology complexity. In this study new MC-CDMA channel estimate schema suggested that was based on a combination of Local Search and Particle Swarm Optimization. The proposed channel estimator tested under channel fast fading for different situations. In particular, the transmitter design focus on the 64-QAM system and spreading gold code.
Keywords:
Channel estimation , FPGA , LS-PSO , MC-CDMA,
References
-
Amiri, I.S., M. Ebrahimi, A.H. Yazdavar, S. Ghorbani, S.E. Alavi, S.M. Idrus and J. Ali, 2014. Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band solutions carrier. IET Commun., 8(5): 1364-1373.
CrossRef -
Amsavalli, A. and K.R. Kashwan, 2012. FPGA implementation of low complexity VLSI architecture for DS-CDMA communication system. Int. J. Comput. Appl., 42(20): 27-34.
-
Andreev, B., E. Tiblebaum and E. Friedman, 2004. Low power flexible rake receivers for WCDMA. Proceeding of the IEEE International Symposium on Circuits and Systems (ISCAS, 2004), 4: 97-100.
CrossRef -
De Angelis, G., G. Baruffa and S. Cacopardi, 2010. Parallel PN code acquisition for wireless positioning in CDMA handsets. Proceeding of the 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop, pp: 343-348.
CrossRef -
Edfors, O., M. Sandell, J. Beek and S.K. Wilson, 1998. OFDM channel estimation by singular value decomposition. IEEE T. Commun., 46(7): 931-939.
CrossRef -
He, J. and H. Guo, 2013. A modified particle swarm optimization algorithm. Telkomnika, 11(10): 6209-6215.
CrossRef -
Hooke, R. and T.A. Jeeves, 1961. Direct search solution of numerical and statistical problems. J. ACM, 8(2): 212-229.
CrossRef -
Iraji, S., T. Sipila and J. Lilleberg, 2003. Channel estimation and signal detection for MC-CDMA in multipath fading channels. Proceeding of the 14th IEEE International Symposium on Personal Indoor and Mobile Radio Communication, pp: 2286-2290.
CrossRef -
Joseph, N. and P.N. Kumar, 2012. Power consumption reduction in a SDR based wireless communication system using partial reconfigurable FPGA. Int. J. VLSI Design Commun. Syst., 3(2): 203-210.
CrossRef -
Kushwah, A.S. and S. Manglasheril, 2014. Performance estimation of 2*3 MIMO-MC-CDMA using convolution code. Int. J. Comput. Trend. Technol., 9(1): 21-25.
CrossRef -
Lee, H. and D.S. Ha, 2003. An area and power efficient rake receiver architecture for DSSS systems. Proceeding of the IEEE International (Systems-on-Chip) SOC Conference, pp: 103-106.
-
Oyerinde, O.O. and S.H. Mneney, 2013. Recursive MMSE-based iterative channel estimation for OFDM-IDMA systems. Proceeding of the AFRICON, pp: 1-5, ISSN: 2153-0025.
-
Trivedi, A. and R. Gupta, 2007. Pilot symbol assisted channel estimation for uplink MC-CDMA systems using parametric channel modeling. Proceeding of the International Symposium on Communications and Information Technologies (ISCIT, 2007), pp: 989-993.
CrossRef -
Xu, Y., R. Qu and R. Li, 2013. A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems. Ann. Oper. Res., 206(1): 527-555.
CrossRef -
Zambrano-Bigiarini, M., M. Clerc and R. Rojas, 2013. Standard particle swarm optimisation 2011 at CEC-2013: A baseline for future PSO improvements. Proceeding of the IEEE Congress on Evolutionary Computation (CEC, 2013). Cancun, pp: 2337-2344.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
![](http://www.maxwellsci.com/images/RJASET-maxw.jpg) |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
![Submit Manuscript](../images/sub.jpg) |
Information |
|
|
|
Sales & Services |
|
|
|