System Models for the Detection of Wireless Microphone Signals in Noisy Environment for Cochlear external devices

Authors

  • Prof. Ramesh K   Department of PG studies in Computer Science, Karnataka State Women's University, Vijayapur, India

Keywords:

CI, SNR, ROC, AWGN, NRI Response, mapping.

Abstract

In our earlier two research papers we have proposed two 'UART to WIFI modules' namely IEEE 802.15.4 and BLE 4.0 wireless architectures to establish wireless Communication Among Speech Processor and Transmitter 0f most recent cochlear Implant Naida CI Q90.The two proposed architectures are wireless communication systems which are much prone to adjacent noises hence quality of the voice gets degraded for the CI users.The signal to noise ratio (SNR) is one of the important measures for reducing the noise. Hence we have derived an mathematical expression in the energy detector model which is used to find the detection probability. This theoretical expression is evaluated under various values of and derived an expression to compute the predetermined threshold. The simulation shows the detection performance of energy detection over non fading AWGN channel in the noisy environment and results for great improvement in the detection performance with increase in SNR. We find good performance of the energy detector even at low SNR. Simulation results closely match with theoretical results. The proposed mathematical analysis in the model can be incorporated to sense the signal from the microphone in wireless CIs and shall be used in a clinical validation in a quiet environment.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-06-30

Issue

Volume 3, Issue 5, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prof. Ramesh K , " System Models for the Detection of Wireless Microphone Signals in Noisy Environment for Cochlear external devices, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.894-899, May-June-2018.