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Improving the Resolution of Bearing in Passive Sonar Arrays by Eigenvalue Analysis

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TLDR
In this paper, an adaptive beamforming method is proposed to improve the bearing resolution of a passive array, having many similarities to the minimum energy approach, where the evaluation of energy in each steered beam is preceded by an eigenvalue-eigenvector analysis of the empirical correlation matrix.
Abstract
A method of improving the bearing-resolving capabilities of a passive array is discussed. This method is an adaptive beamforming method, having many similarities to the minimum energy approach. The evaluation of energy in each steered beam is preceded by an eigenvalue-eigenvector analysis of the empirical correlation matrix. Modification of the computations according to the eigenvalue structure results in improved resolution of the bearing of acoustic sources. The increase in resolution is related to the time-bandwidth product of the computation of the correlation matrix. However, this increased resolution is obtained at the expense of array gain.

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SAR Imaging via Modern 2-D Spectral Estimation Methods. Volume 1. Imaging Methods.

S. R. DeGraaf
TL;DR: In this article, a comprehensive comparison of 2D spectral estimation methods for SAR imaging is presented, and a theoretical analysis of the impact of the adaptive sidelobe reduction (ASR) algorithm on target to clutter ratio is provided.
Proceedings ArticleDOI

A New Criterion For The Determination Of The Number Of Signals In High-Resolution Array Processing

TL;DR: A new criterion is proposed here such that a new likelihood function is derived consisting of only the parameters having bearing to the determination of K and computer simulations indicate that considerable improvement in performance is attained.
Proceedings ArticleDOI

Estimation algorithm for determining angular position of the radiation sources for antenna array with errors

TL;DR: The influence of errors in the signal model using the methods of estimating the spatial spectrum of the input field of the antenna array is investigated and it is shown that the eigenvectors of the matrix of the mutual power spectral density of the sum of the signals and noise can differ significantly from each other.
Proceedings ArticleDOI

High-power interference suppression via reduced complexity adaptive blind beamforming

TL;DR: Simulations show that ABB automatically nulls jamming signals that are 20 dB to 40 dB stronger than the user signal, achieving close to the theoretically best performance despite being a blind solution and its low computational requirements.
References
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High-resolution frequency-wavenumber spectrum analysis

TL;DR: In this article, a high-resolution frequency-wavenumber power spectral density estimation method was proposed, which employs a wavenumber window whose shape changes and is a function of the wave height at which an estimate is obtained.
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Detection of signals by information theoretic criteria

TL;DR: Simulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.
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Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations

TL;DR: This paper provides a comprehensive and detailed treatment of different beam-forming schemes, adaptive algorithms to adjust the required weighting on antennas, direction-of-arrival estimation methods-including their performance comparison-and effects of errors on the performance of an array system, as well as schemes to alleviate them.
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On spatial smoothing for direction-of-arrival estimation of coherent signals

TL;DR: An analysis of a "spatial smoothing" preprocessing scheme, recently suggested by Evans et al., to circumvent problems encountered in direction-of-arrival estimation of fully correlated signals.
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The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise

TL;DR: An asymptotic statistical analysis of the null-spectra of two eigen-assisted methods, MUSIC and Minimum-Norm, for resolving independent closely spaced plane waves in noise finds an approximate expression for the resolution threshold of two plane waves with equal power in noise.
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