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A MUSIC-ML (MML) processing algorithm for 3-dimensional localization of underwater acoustic sources using a 2-dimensional acoustic vector (AVS) array was proposed recently. The MML processor performs source localization with high accuracy and resolution. But the hardware and computational complexity of the MML processor is very high. In this paper we propose the use of compressive sampling of the...
In this work, the problem of narrowband acoustic signal detection in an ocean using an array of sensors is investigated. The associated hypothesis testing problem is formulated as a goodness-of-fit test (GoFT) due to unavailability of the prior knowledge of the signal vector and the noise variance. A new GoFT, based on the statistics of the number of zero-crossings in the received observations (called...
Bearing estimation of underwater acoustic sources is an important aspect of passive localization in the ocean. The performance of all bearing estimation techniques degrades under conditions of low signal-to-noise ratio (SNR) at the sensor array. The degradation may be arrested by denoising the array data before performing the task of bearing estimation. In the last few years, there has been considerable...
In this paper, we propose the use of the phenomenon of suprathreshold stochastic resonance (SSR) in the detection of a transient signal in a noisy environment. An SSR pre-processor consisting of an array of 2-level quantizers is used to boost the SNR of the data before being transformed by a translation invariant wavelet packet transform (TIWPT). The maximum magnitude coefficient of the TIWPT output...
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