DocumentCode :
2077211
Title :
Efficient time-frequency and bi-frequency signal processing on a reconfigurable computer
Author :
Upperman, Gary J. ; Upperman, Teresa L O ; Fouts, Douglas J. ; Pace, Phillip E.
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
176
Lastpage :
180
Abstract :
Reconfigurable computers allow applications developers to tailor both the software and the hardware of the computer for efficient execution of computationally intensive algorithms. This increases the speed at which the algorithms are executed, making computationally intensive algorithms more useful for real-time and near real-time applications in electronic intelligence (ELINT) applications. This paper presents a study on the use, accuracy, and efficiency of the SRC-6 reconfigurable computer to perform both time-frequency and bi-frequency signal processing. To test the performance, continuous waveform (CW) radar signal modulations are examined using the Choi-Williams distribution (CWD) to calculate the time-frequency characteristics of a signal. Also, the FFT accumulation method (FAM) is used to calculate the cyclostationary bi-frequency characteristics of a signal.
Keywords :
CW radar; fast Fourier transforms; radar computing; radar signal processing; time-frequency analysis; Choi-Williams distribution; FFT accumulation method; bi-frequency signal processing; continuous waveform radar signal modulations; electronic intelligence; fast Fourier transform; reconfigurable computer; signal cyclostationary bi-frequency characteristics; time-frequency processing; Application software; Computational intelligence; Computer applications; Hardware; Radar signal processing; Signal processing; Signal processing algorithms; Software algorithms; Testing; Time frequency analysis; Choi-Williams distribution; Cyclostationary analysis; Radar detection and classification; electronic intelligence; low probability of intercept (LPI) radar; reconfigurable computer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074386
Filename :
5074386
Link To Document :
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