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Optimizing SINR Evaluation in Infrared Systems: Enhancing System Performance & Security

Explore the significance of Signal-to-Noise Ratio (SINR) in Infrared (IR) systems, assessing the impact of various noise sources and factors on system performance. Investigate the use of Direct Sequence Code Division Multiple Access (DS-CDMA), noise models, and ambient light contribution. Analyze the effects of code length and optical filters on SINR, providing key insights for enhancing system efficiency. References and case studies further illuminate the importance of these evaluations in IR technology advancements.

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Optimizing SINR Evaluation in Infrared Systems: Enhancing System Performance & Security

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Presentation Transcript

  1. Numerical Evaluation SINR of an IR system Jinhui Wang

  2. Introduction • What is Infrared? Why? • 700-1600nm • Abundance of unregulated bandwidth. • No multi-path fading • High security • Direct Sequence Code Division Multiple Access • Low power transmission and reception • Security

  3. Asynchronous CDMA Channel Model

  4. Interference and Noise 1. multi-user interference 2. Multipath dispersion 3. Noise (Background)

  5. Channel Model – Exponentially and Linearly Decay

  6. Evaluate SINR

  7. Three main sources of ambient light 1. Sun light, produces the highest levels of background current, so it is the major source of shot noise. 2. Incandescent light 3. Fluorescent light Optical Power spectrum for Ambient light noise

  8. Building Noise Model • Very shiny day • Well fluorescent room: 5x6m • Incandescent light: 60W, 1m away • Fluorescent light: 8x36W, 2.2m away • With and without filter

  9. Background Current (IB)

  10. Effect of Code Length (N) on SINR

  11. Effect of optical filter on SINR

  12. Important Conclusion • DS-CDMA is used in Infrared system. • SINR is calculated on three parts of noise components. • SINR for Exponentially Decay Channel is always better than Linearly Decay Channel. • Optical filter greatly reduces the background current. Higher SINR is achieved. • With larger Code length (N), higher SINR. • As the users increase, SINR decrease.

  13. Reference • [1] Xavier N. Fernando, “Performance of an Infrared Wireless CDMA System” Proceedings of the Digital Wireless Communications Conference V at SPIE's 17th Annual AeroSense Symposium 2003. • [2] Adriano J.C. Noreira, Rui T. Valadas and A.M. de Oliveira Duarte, “ Optical interference produced by artificial light”, Wireless Networks 3 (1997) 131-140 • [3] Moreia A.J.C., Valadas R.T, and de Oliveira Duarte A.M. Optical interference produced by artificial light, Wireless Networks, Vol.3, pp 131-140, 1997.

  14. THANK YOU !

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