DocumentCode
2144746
Title
FPGA-Based Spectrum Analyzer with High Area Efficiency by Goertzel Algorithm
Author
Lin, Min-Chuan ; Tsai, Guo-Ruey ; Tu, Yung-Chin ; Chang, Tai-Hsiung ; Lin, Ching-Hui
Author_Institution
Dept. of Electron. Eng., Kun Shan Univ., Suzhou
Volume
1
fYear
2008
fDate
27-30 May 2008
Firstpage
157
Lastpage
159
Abstract
FFT algorithm is the popular software design for spectrum analyzer, but doesnpsilat work well for parallel hardware system due to complex calculation and huge memory requirement. Observing the key components of a spectrum analyzer are the intensities for respective frequencies, we propose a Goertzel algorithm to directly extract the intensity factors for respective frequency components in the input signal. Goertzel algorithm dispenses with the memory for z-1 and z-2 processing, and only needs two multipliers and three adders for real number calculation. In this paper, we present the spectrum extraction algorithm and implement a spectrum extractor with high speed and low area consumption in a FPGA (field programmable gate array) chip. It proves the feasibility of implementing a handheld concurrent multi-channel real-time spectrum analysis IP into a low gate counts and low power consumption CPLD (complex programmable logic device) chip.
Keywords
fast Fourier transforms; field programmable gate arrays; spectral analysers; FFT algorithm; FPGA-based spectrum analyzer; Goertzel algorithm; field programmable gate array; multichannel real-time spectrum analysis; parallel hardware system; software design; Algorithm design and analysis; Band pass filters; Field programmable gate arrays; Finite impulse response filter; Frequency; Hardware; Local oscillators; Real time systems; Signal processing algorithms; Spectral analysis; FPGA; Goertzel Algorithm; Spectrum Analyzer;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.743
Filename
4566139
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