Abstract
Four simulation experiments have been carried out to compare the statistics of threshold detection of a complex sinusoid in additive noise using the Burg maximum entropy method (MEM) and the discrete Fourier transform (DFT) technique. The results indicate that, in the presence of additive white noise, the DFT consistently provides a higher signal detection probability P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</inf> and a more accurate estimate of signal frequency than the MEM. In the presence of colored noise, the DFT provides a higher P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</inf> when signal-to-noise ratio (SNR) is high, or when signal detection is carried out in the low false-alarm probability P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FA</inf> region. Only in the very restricted case of low SNR together with a high P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FA</inf> and the signal far away from the center of the noise band does the MEM provide a higher P <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</inf> than the DFT.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Acoustics, Speech, and Signal Processing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
