论文信息 - A class of sequential adaptive detectors for underwater non-gaussian noise environments

A class of sequential adaptive detectors for underwater non-gaussian noise environments

The problem of sequential signal detection in non-Gaussian noise is considered. The proposed detectors arc robust and increase the transmission rate up to four times the rate of their fixed-sample-size counterparts. The performance of the detectors is evaluated for low signal-to-noise-ratio (SNR) environments encountered in underwater acoustics. To improve the efficiency and to suppress the influence of large samples, truncated and curved decision boundaries are introduced at the detector.

L. Kurz | E. Voudouri | L. Kurz | E. Voudouri

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