Qualification: 
M.E
k_pargunarajan[at]cb[dot]amrita[dot]edu
Phone: 
+91 422 2685000

Pargunarajan K. currently serves as Assistant Professor at Department of Electronics and Communication Engineering, School of Engineering, Coimbatore Campus. He pursued his BE in Electronics and Communication Engineering from Madras university in 2003 and ME in Wireless technologies in TCE , Madurai in 2006 and Pursuing PhD in the area of Channel coding in Amrita vishwa vidyapeetham. His areas of research include Wireless Communication and Channel coding. He has guided several B.Tech and M.Tech projects and has published around 10 papers in international journals and international conferences.

Education

  • Pursuing: Ph. D. in Channel Coding
    Amrita Vishwa Vidyapeetham
  • 2004 - 2006: M. E. in Wireless Technologies
    Thiagarajar College of Engineering, Anna University
  • 2003: B. E. in Electronics and Communication
    Madras University

Professional Experience

Year Affiliation
January 1, 2011 - Present Assistant Professor (Sr. Gr.), Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham
Domain : Teaching, Resaerch and Projects
August 18, 2006 – December 31, 2010 Lecturer, Amrita Vishwa Vidyapeetham
Domain : Teaching

Academic Responsibilities

SNo Position Class / Batch Responsibility
1. Batch Coordinator    
2. Program Coordinator    
3. Class Adviser 2008 – 12
2014 – 18
Counsel the students and motivating
4. Time-Table Coordinator    
5. Academic Coordinator 2014 – 18 Try to resolve problems of slow learner.

Undergraduate Courses Handled

  1. Analog Communication
  2. Digital Communication
  3. Wireless Communication
  4. Information Theory and Coding Techniques
  5. Introduction to Spread Spectrum Communication
  6. Data communication and Networks
  7. Signals and System
  8. Introduction to Microcontroller and applications

Post-Graduate / PhD Courses Handled

  1. Estimation and Detection (CSEP)
  2. Security and Cryptography (CSEP)
  3. Embedded system (VLSI Design)

Specialized Courses Developed

Course Name Specialization Programme Outcome
Estimation and Detection Communication Basic Understanding of Bayas Theorem and hypothesis 
Introduction to Spread Spectrum Communication Communication Basic Understanding of CDMA and noise immunity charasteristics

Academic Research – PG Projects

SNo Name of the Scholar Programme Specialization Duration Status
1. S Neha CSEP LDPC decoding 2015-16 Completed
2. Seetha Ravi P CSEP LDPC decoding 2016-17 Completed

Sanctioned Projects Co _PI

Title Agency Amount Duration Status
Reliability based Soft Decision Decoding of Turbocodes for Satellite Communication ISRO -SAC Rs. 30 Lacs 3 Years Ongoing

Research Laboratories – Associated

Location Name and Year Sponsoring Agency Domain No. of Funded Projects
E-306, AB-II Information Procesing and Coding Lab ISRO Error control codes 1

Publications

Publication Type: Conference Proceedings

Year of Publication Title

2017

P. S. Ravi and Pargunarajan K., “Adaptive Threshold Multi bit Flipping for Low Density Parity Check Codes”, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). Institute of Electrical and Electronics Engineers Inc., pp. 294-298, 2017.[Abstract]


In this paper an adaptive threshold for flipping intensity based dynamic weighted multi bit flipping algorithm is proposed to overcome the existing complexities in finding the threshold. The change in the check node and bit node status are also considered here. Improvement in performance is observed using the method of adaptive threshold in place of fixed threshold.

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2017

M. Velmurugan and Pargunarajan K., “Modified Weighted Bit Flipping Algorithm based on Intrinsic Information for LDPC Codes”, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, vol. 2017-January. Institute of Electrical and Electronics Engineers Inc., pp. 283-287, 2017.[Abstract]


This paper proposes a modified bit flipping algorithm and its weighted variants based on reliability derived from intrinsic information. Compared to other existing algorithms where extrinsic information based reliability was used in the flipping function, here intrinsic information based reliability is also equally considered. This algorithm only uses additions and subtractions to modify reliability as compared to other reliability based BF algorithms, which use multiplications and divisions. Hence, it offers good performance with a minimal increase in computational complexity.

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2016

S. Neha and Pargunarajan K., “Hybrid sub-optimal decoding technique for LDPC codes”, Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016. Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2016.[Abstract]


A hybrid sub-optimal technique has been proposed in this paper for decoding the LDPC codes, which delivers a better performance. The two decoding algorithms namely, the Sum Product Algorithm (SPA) and One Step Majority Logic Decoding Algorithm (OSMLGD) are pooled together to accomplish decoding of LDPC codes. Also the two algorithms are implemented exclusively in order to compare the performance. The error correction capability is compared by plotting the Bit-Error Rate v/s SNR graph and the computational complexity is also compared.

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2011

N. Priyadarshini and Pargunarajan K., “Very-low-rate Convolutional Codes Using Modified Parallel Architecture for Spread Spectrum Applications”, Proceedings of 2011 International Conference on Process Automation, Control and Computing, PACC 2011. Coimbatore, pp. 1-3, 2011.[Abstract]


It is very important to obtain very good low-rate codes with increased speed, due to its importance in modern communication systems. This paper proposes an effective method to achieve very-low-rate convolutional codes, with minimum generator polynomials and higher speed.

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2011

A. R. Ganesh, Manikandan, P. N., Sethu, S. P., Sundararajan, R., and Pargunarajan K., “An Improved AES-ECC Hybrid Encryption Scheme for Secure Communication in Cooperative Diversity Based Wireless Sensor Networks”, International Conference on Recent Trends in Information Technology, ICRTIT 2011. Chennai, pp. 1209-1214, 2011.[Abstract]


Security of Wireless Sensor Networks (WSNs) is a very crucial factor when deployed for reconnaissance in sensitive areas. The existing symmetric encryption schemes provide a good amount of security, but maintenance of keys is difficult. When asymmetric schemes are used, maintenance of keys is easier, but they provide a lesser degree of security when compared to symmetric encryption schemes. In order to cope up with these shortcomings, we propose to use an improved version of the hybrid encryption scheme, which is a combination of Advanced Encryption Standard (AES) and Elliptical Curve Cryptography (ECC) with cross encrypted keys for secure key exchange and node authentication and hybrid encryption for enhanced cipher-text security. In case of transmission in WSNs, Statistical Cooperative Diversity based on Alamouti code is the most commonly used transmission scheme. However, for an arbitrary number of sensors, Alamouti code limits the BER performance and energy is not distributed equally, thereby creating the energy-hole problem which leads to early dysfunction of the sensors and may eventually lead to dysfunction of the Wireless Sensor Network (WSN). Extended Cooperative Space-time Block Codes (ECBSTBCs), which are obtained from Alamouti code, have the same characteristics of Alamouti code with the energy being distributed equally among the active sensors. With these factors in mind, we propose to use ECBSTBC as the transmission scheme. The improved hybrid scheme is ideal for ECBSTBC based WSN due to the speed of operation and higher degree of security that it offers.

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Publication Type: Journal Article

Year of Publication Title

2014

K. G, M, G. Raj, M, A., Menon, A. Gopikumar, N, G., and Pargunarajan K., “Decoding of Linear Block Codes using SUM Product Algorithm”, International Journal of Electrical, Electronics and Data Communication, vol. 2, no. 6, 2014.

2011

N. Priyadarshini and Pargunarajan K., “A Constrained Search Algorithm for Selection of Optimal Generators in Convolutional Encoder”, International Journal of Computer Science Engineering and Technology (IJCSET), vol. 1, no. 6, pp. 324-326, 2011.

2010

P. S, R, P., S, S. M., and Pargunarajan K., “A New Space Time Block Codes with Non –vanishing Determinants”, National Conference on Recent Trends in Communication, Computation and Signal Processing RTCSP 2010, pp. 78-80, 2010.

2010

P. S, R, P., S, S. M., and Pargunarajan K., “Performance of Alamouti Scheme”, National Research Conference on Challenges and Innovations in Information Technology - CIIT’10, pp. 443-446, 2010.

Faculty Research Interest: