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- W2182719762 abstract "In this paper, we consider the performance of the Pisarenko harmonic decomposition method which is a special case of MUSIC algorithm for a single tone detection problem in additive white Gaussian noise environment. The detection process consists of comparing Pisarenko harmonic decomposition frequency estimate (PISFE) to the known tone frequency, and declare “tone present if the two values are sufficiently close. We derive the conditional probability density function of the PISFE under both detection hypotheses and use them to evaluate the performance of the PISFE detector. Simulation and numerical results allow the choice of an optimum threshold for a frequency detection band setting given a false alarm rate PF. The receiver operating characteristics of the PISFE is obtained computing the corresponding detection probability PD . It is shown that the PISFE detector is a constant false alarm rate (CFAR) detector with respect to SNR for fixed tone frequency, but not a CFAR detector with respect to tone frequency for the given problem. The performance of the PISFE type detector is compared with both matched filter (MF) and autoregressive (AR) detectors and the analysis is supported by an extensive simulation work. Applications to FSK tone detection problem is discussed briefly." @default.
- W2182719762 created "2016-06-24" @default.
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- W2182719762 date "2003-01-01" @default.
- W2182719762 modified "2023-09-26" @default.
- W2182719762 title "A COMPARATIVE ASSESSMENT OF THE PISARENKO HARMONIC DECOMPOSITION TYPE TONE DETECTOR" @default.
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