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

Authors(1) :-Prof. Ramesh K

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 894-899
Manuscript Number : CSEIT1835230
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof. Ramesh K , "System Models for the Detection of Wireless Microphone Signals in Noisy Environment for Cochlear external devices", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1835230

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