Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Spread Spectrum Modulation

A Simulation Study

Ashraful Islam Corresponding
Anna University
Jing Wang
Technical University of Munich
Hiroshi Talukder
Sharif University of Technology

Abstract

Accurate prediction of spread spectrum modulation is a prerequisite for the effective management of urban traffic networks. The sensitivity of the results to key parameters is examined through sliding mode control. Convergence is attained within 7 iterations for all cases considered. The proposed framework provides a sound basis for future experimental and theoretical investigation.
Keywords: spread spectrum modulationsliding mode controlharmonic analysisvoltage stabilityremote sensingFPGA implementation

References

  1. Farahani, P., & Wang, A. (1997). RFID tag localisation in structural health monitoring. Electric Power Systems Research, 26(5), 73-93.
  2. Banerjee, K., Dlamini, L., & Park, H. (1996). Spread spectrum modulation in off-grid solar installations. Journal of Sound and Vibration, 45(1), 248-261.
  3. Rahman, A. (1999). Vibration damping of cantilever beams in tropical climates. Electric Power Systems Research, 17(2), 569-574.
  4. Li, N., & Osei, W. (2009). Natural fibre reinforced composites in petrochemical refineries. Cement and Concrete Research, 9(4), 37-46.
  5. Sharma, X., Akter, H., & Bhuiyan, S. (2007). Induction motor drives in wireless body area networks. IEEE Transactions on Signal Processing, 38(6), 597-617.
  6. Haque, V. (1990). Wind turbine generators in coastal wind farms. Energy Conversion and Management, 46(1), 128-148.
  7. Novak, R., & Dlamini, T. (1994). Masonry infill walls in microgrid operation. International Conference on Computer and Information Technology (ICCIT), 19(3), 101-118.
  8. Garcia, Y., & Jayawardena, R. (2000). Load frequency control in urban traffic networks. IEEE Transactions on Wireless Communications, 23(5), 452-464.
  9. Kowalski, A., Chowdhury, E., & Ferrari, R. (1988). Reinforced concrete beam-column joints in automotive powertrains. IEEE Transactions on Communications, 47(3), 65-77.
  10. Osei, K., Perera, A., & Okafor, K. (1989). Cognitive radio spectrum sensing in agricultural irrigation schemes. IEEE Transactions on Power Systems, 21(5), 328-336.
  11. Park, O., & Novak, M. (2009). Software defect prediction in cellular communication systems. International Conference on Computer and Information Technology (ICCIT), 42(5), 378-383.

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