Detection performances of experienced human operators compared to a likelihood ratio based detector
Ildar R Urazghildiiev1, Christopher W Clark
1Bioacoustics Research Program, Cornell Laboratory of Ornithology, Ithaca, New York, 14850-1999, USA. iru2@cornell.edu
The Journal of the Acoustical Society of America
|July 7, 2007
Summary
This study shows an automatic detector using the generalized likelihood ratio test (GLRT) outperforms experienced human operators in detecting polynomial phase signals. The GLRT detector offers a higher detection probability for signals in noise.
Area of Science:
- Signal Processing
- Statistical Detection Theory
Background:
- Human operators are traditionally used for signal detection tasks.
- Automatic detection methods offer potential improvements in performance and efficiency.
Purpose of the Study:
- To compare the signal detection performance of human operators against an automatic detector.
- To evaluate the effectiveness of the generalized likelihood ratio test (GLRT) for signal detection.
Main Methods:
- The study utilized polynomial phase signals embedded in additive white Gaussian noise.
- Signal-to-noise ratios (SNRs) tested were 18, 20, 24, and 24 dB.
- Performance was assessed by comparing detection probabilities at equivalent false alarm rates for human operators and the GLRT detector.
Main Results:
- The GLRT-based automatic detector consistently achieved a higher probability of detecting signals compared to experienced human operators.
- This improved performance was observed across various signal-to-noise ratios.
- The GLRT detector demonstrated superior efficacy even when matched to the false alarm probability of human operators.
Conclusions:
- Automatic detection using the generalized likelihood ratio test (GLRT) is a more effective method for detecting polynomial phase signals than human operators.
- The GLRT approach offers a significant advantage in detection performance, particularly in noisy environments.
- This finding suggests a shift towards automated systems for enhanced signal detection capabilities.
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