@inproceedings{2d23f1a2f2b7409dac4dcaf2ec33835d,
title = "CFAR detection of a known FSK-modulated signal in white gaussian noise with unknown variance",
abstract = "Optimal detection of a known FSK-modulated binary signal in additive white Gaussian noise using a matched filter receiver requires knowledge of second-order noise statistics. The dependence on noise statistics causes the probability of detection to be sensitive to errors in the noise variance value. This makes optimal scheme of limited use in situations where the noise statistics are unknown and cannot be estimated reliably. We propose an alternative approach, which has a more easily calculated test statistic than the optimal method and yields a constant false detection rate, regardless of noise statistics. While this approach has sub-optimal detection probability, it will be significantly advantageous in applications where a primary interest in to strictly limit false detections. In addition, it allows one to easily determine the required detection length (in symbols) to achieve a desired performance level.",
author = "Ian Atkinson and Farzad Kamalabadi",
year = "2005",
doi = "10.1109/ICASSP.2005.1415878",
language = "English (US)",
isbn = "0780388747",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "III989--III992",
booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication",
address = "United States",
note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",
}