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Plane-wave DOA estimation techniques yield biased estimates of source bearing angles in the ocean due to the multimode nature of acoustic propagation in an oceanic waveguide. Bearing estimation using matched ÿeld processing requires either a computationally expensive three-dimensional search or a priori knowledge of the source ranges and depths. A new(More)
We compare the performance of two detection schemes in charge of detecting the presence of a signal buried in an additive noise. One of these is the correlation receiver (linear detector), which is optimal when the noise is Gaussian. The other detector is obtained by applying the same correlation receiver to the output of a nonlinear preprocessor formed by(More)
This paper presents the formulation and analysis of some methods for narrowband detection of underwater acoustic sources in impulsive noise using an array of acoustic vector sensors. Since the array signal vector is unknown due to the unknown location of the source, detection is based on the generalized likelihood ratio test which involves estimation of the(More)
This paper presents the design and performance analysis of a detector based on suprathreshold stochastic resonance (SSR) for the detection of deterministic signals in heavy-tailed non-Gaussian noise. The detector consists of a matched filter preceded by an SSR system which acts as a preprocessor. The SSR system is composed of an array of 2-level quantizers(More)
Stochastic resonance and suprathreshold stochastic resonance are nonlinear phenomena that yield a non-monotonic variation of system performance measures such as SNR gain, with respect to input noise variance [1, 2]. There exists an optimal strength of the added noise at which the performance measure is maximised. In this work, an analytical method is(More)