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International Journal of Scientific & Technology Research

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IJSTR >> Volume 2- Issue 10, October 2013 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Android Based Spectrum Analyzer

[Full Text]

 

AUTHOR(S)

Prasanna Shete, Aditya Kurude, Mayur Bhole, Tushar Khose

 

KEYWORDS

Index Terms: Android, Bluetooth, ds PIC, Eclipse, FFT, GUI, Signal Processing, Spectrum Analyzer.

 

ABSTRACT

Abstract: The paper discusses a new concept of analyzing the signal in frequency domain using an App based on Android OS. Analog input signal is applied to hardware signal conditioning block, where it is filtered to avoid the aliasing effect, programmable gain/attenuation is provided to the signal using an programmatically selectable amplifier /attenuator. The signal is digitized using internal ADC of ds PIC. Digitized samples are then transferred to the android device serially via Bluetooth, which is controlled by dsPIC. A java based application installed on android device accepts samples, performs FFT on them and display the signal in frequency domain. The performance of the proposed embedded system (i.e. Hardware & software) is then measured against some standard spectrum analyzer parameters. Greater cost reduction and smaller size of the embedded system offer advantages over conventional instruments.

 

REFERENCES

[1] Onur Cinar, “Android apps with Eclipse”.(Apress publication)

[2] Wei-Meng lee, “Beginning Android Applications Development”. (Wiley publication.Inc)

[3] Sayeed Y. Hashimi and Satya Komatineni, “Pro Android”. (Apress publication).

[4] Herbert Schildt, “Java A Beginner’s guide”. Copyright 2005 by The McGraw-Hill Companies.

[5] Ww1.microchip.com/downloads/en/devicedoc/70318.pdf.

[6] www.ti.com/lit/ds/symlink/lmx9838.pdf.

[7] www.ti.com/product/lmp7312.

[8] www.ti.com/lit/ds/symlink/lm1117-n.pdf.

[9] Christoph Rauscher (Volker Janssen, Roland Minihold),”Fundamentals of Spectrum Analysis”.

[10] National Instruments tutorial, “Zero Padding Does Not Buy Spectral Resolution”.

[11] National Instruments tutorial, “The Fundamentals of FFT-Based Signal Analysis and Measurement in LabVIEW and LabWindows/CVI”.

[12] National Instruments tutorial, “Resolution Bandwidth (RBW)”.

[13] National Instruments tutorial, “Zero Padding Does Not Buy Spectral Resolution”.

[14] National Instruments tutorial, “Resolution”.

[15] National Instruments tutorial, “Spectrum Analyzer Determined by Choice of Measurement”.