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Crossover Blend of Kalman Filter And Rake Receiver Over Multipath Fading Channels In DS-CDMA System


Affiliations
1 Department of Electronics and Telecommunication Engineering, Sanjivani College of Engineering, India
     

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Next generation, wireless system needs enormous data exchange with high caliber for the transmission of voice, information and video, such type of transmission is hard to execute without a substantial transfer speed. Keeping in mind, the end goal to accomplish such requests is multi-user Direct Sequence Code Division Multiple Access (DSCDMA). Here DS-CDMA is considered as a framework with multi clients who need to send Colour video information. This paper recommends a new Crossover Blend of Kalman Filter and Rake (CBKFR) based spreading codes generator for multi-user Direct Sequence Spread Spectrum (DSSS) correspondence frameworks. Execution of this framework under different channels, code Sequences and modulation schemes are analysed and discussed. The performance is evaluated in terms of Bit Error Rate (BER) for various values of Signal to Noise Ratio (SNR). The obtained outcome demonstrates that the average BER is 0.32339 and 0.157071 respectively with conventional rake receiver and proposed CBKFR receiver when SNR value is 20dB. Hence it is found that the performance of the proposed CBKFR receiver is more preferable in comparison with conventional Rake receiver. Furthermore, the proposed CBKFR receiver is the most efficient and reliable for improving BER performance for DS-CDMA multipath channels.

Keywords

DS-CDMA, Colour Video, Kalman Filter, Rake Receiver, BER, SNR.
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  • E. Fisher and H.V. Poor, “On the Tradeoff between Two Types of Processing Gains”, IEEE Transactions on Communications, Vol. 53, No. 10, pp. 1744-1753, 2005.

  • L. Zhiwei, A.B. Premkumar and A.S. Madhukumar, “Matching Pursuit based Tap Selection Technique for UWB Channel Equalization”, IEEE Communication Letters, Vol. 9, No. 9, pp. 835-837, 2005.

  • R. Price and P.E. Green, “A Communication Technique for Multipath Channels”, Proceedings of the IRE, Vol. 46, pp. 555-570, 1958.

  • T. Feng, A. Bi and T. Wu, “An Improved RAKE Receiver with Delay Adjustment”, Proceedings of China-Japan Joint Microwave Conference, pp. 1-4, 2011.

  • X.F. Kang and B.P. Li, “The BER Performance Analysis and Simulation of RAKE Receiver for UWB Systems”, Proceedings of IEEE on Workshop Advanced Research and Technology in Industry Applications, pp. 267-269, 2014.

  • Arie Geert Cornelis Koppelaar, Andries Pieter Hekstra, Frank Harald Erich Ho Chung Leong, Stefan Drude and Marinus Van Splunter, “Efficient Rake Receiver Finger Selection”, Available at: https://patents.google.com/patent/US9667310B2/en

  • L.L. Yang, “A Zero-Forcing Multiuser Transmitter Preprocessing Scheme for Downlink Communications”, IEEE Transactions on Communications, Vol. 56, No. 6, pp. 862-865, 2008.

  • B. Sridharan, A. Ravi, A. S. Haribhaskaran and P. Nagaradjane, “Cooperative Downlink MC-CDMA System Aided by Transmitter Preprocessing: Performance Results”, Proceedings of IEEE International Conference on Telecommunications, pp. 145-149, 2014.

  • Abbas Salman Hameed, “DS-CDMA based on Orthogonal Chaotic Signals and Alamouti Scheme”, Proceedings of IEEE International Conference on Engineering Sciences, pp. 120-125, 2018.

  • Cezary Ziolkowski, Jan M. Kelner and Leszek Nowosielski, “Correlation Properties of Signal at Mobile Receiver for Different Propagation Environments”, Proceedings of International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, pp. 1024-1027, 2018.

  • Gregory E. Bottomley and Carmela Cazza, “RAKE Reception with Channel Estimation Error”, IEEE Transactions on Vehicular Technology, Vol. 55, No. 6, pp. 1923-1926, 2006.

  • Ming Wang, Yubina Han and Welixing Sheng, “A Bayesian Approach to Adaptive RAKE Receiver”, IEEE Access, Vol. 6, pp. 3648-3654, 2017.

  • S. Niranjayan and Narman C Beaulieu, “BER Optimal Linear Combiner for Signal Detection in Symmetric AlphaStable Noise: Small Values of Alpha”, IEEE Transactions on Wireless Communications, Vol. 9, No. 3, pp. 886-890, 2010.

  • M.E.T. Roman and V.V. Koivunen, “Time-Domain Method for Tracking Dispersive Channels in MIMO OFDM Systems”, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 393-396, 2003.

  • F. Tufvesson and T. Masseng, “Pilot Aided Channel Estimation for OFDM in Mobile Cellular System”, Proceedings of IEEE 47th International Conference on Vehicular Technology, pp. 1639-1643, 1997.

  • Bor Sen Chen, Chang-Yi Yang and Wei Ji Liao, “Robust Fast Time-Varying Multipath Fading Channel Estimation and Equalization for MIMO-OFDM Systems via a Fuzzy Method”, IEEE Transactions on Vehicular Technology, Vol. 61, No. 4, pp. 1599-1609, 2012.

  • Konstantinos B. Baltzis, “An Efficient Finger Allocation Method for the Maximum Likelihood Rake Receiver”, Radio Engineering, Vol. 17, No. 4, pp. 45-50, 2008.

  • Rashid A. Fayadh, F. Malek and Hilal A. Fadhil, “Enhancement of a Three Combining Techniques Rake Receiver Using Adaptive filter of M-Max Partial Update RLS Algorithm for DS-UWB Systems”, Journal of Next Generation Information Technology, Vol. 5, No. 4, pp. 93105, 2014.

  • Vinod Gutta, Kamal Kanth, Toguru Anand, Tej Sri Venkata Saidhar Movva, Bhargava Rama Korivi, Santosh Killamesetty and Sudheesh Padmanabhan, “Low Complexity Channel Estimation using Fuzzy Kalman Filter for Fast Time Varying MIMO-OFDM Systems”, Proceedings of International Conference on Advances in Computing Communications and Informatics, pp. 1771-1774, 2015.

  • Greg Welch and Gary Bishop, “An Introduction to the Kalman Filter”, Available at: https://courses.cs.washington.edu/courses/cse571/03wi/not es/welch-bishop-tutorial.pdf.


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  • Crossover Blend of Kalman Filter And Rake Receiver Over Multipath Fading Channels In DS-CDMA System

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Authors

Rajendrakumar Govinda Zope
Department of Electronics and Telecommunication Engineering, Sanjivani College of Engineering, India
Devendra Ningappa Kyatanavar
Department of Electronics and Telecommunication Engineering, Sanjivani College of Engineering, India

Abstract


Next generation, wireless system needs enormous data exchange with high caliber for the transmission of voice, information and video, such type of transmission is hard to execute without a substantial transfer speed. Keeping in mind, the end goal to accomplish such requests is multi-user Direct Sequence Code Division Multiple Access (DSCDMA). Here DS-CDMA is considered as a framework with multi clients who need to send Colour video information. This paper recommends a new Crossover Blend of Kalman Filter and Rake (CBKFR) based spreading codes generator for multi-user Direct Sequence Spread Spectrum (DSSS) correspondence frameworks. Execution of this framework under different channels, code Sequences and modulation schemes are analysed and discussed. The performance is evaluated in terms of Bit Error Rate (BER) for various values of Signal to Noise Ratio (SNR). The obtained outcome demonstrates that the average BER is 0.32339 and 0.157071 respectively with conventional rake receiver and proposed CBKFR receiver when SNR value is 20dB. Hence it is found that the performance of the proposed CBKFR receiver is more preferable in comparison with conventional Rake receiver. Furthermore, the proposed CBKFR receiver is the most efficient and reliable for improving BER performance for DS-CDMA multipath channels.

Keywords


DS-CDMA, Colour Video, Kalman Filter, Rake Receiver, BER, SNR.

References