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Capabilities of Multiplicative Array Processors as Signal Detector and Bearing Estimator

Leonard E Miller, +1 more
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TLDR
In this paper, the performance of a multiplicative receiver array for signal detector and bearing estimator is investigated, and the probability density functions for the filter outputs of array models are obtained for the input signals consisting of monochromatic signals and narrowband additive Gaussian noise.
Abstract
: Investigation is made of a 'multiplicative' receiver array to determine its capability as signal detector and bearing estimator. The same analyses are made of the conventional square-law array for comparison purposes. The probability density functions for the filter outputs of array models are obtained for these arrays for the input signals consisting of monochromatic signals and narrowband additive Gaussian noise. The number of sensor elements, SNR, source bearing, and interelement noise correlation, are treated as parameters of the distribution, and their influences are displayed graphically. Based on these probability density functions for the square-law and multiplicative array processors, the authors then examine their performances as signal detectors and bearing estimators.

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Journal ArticleDOI

Time delay estimation for passive sonar signal processing

TL;DR: In this article, an overview of applied research in passive sonar signal processing estimation techniques for naval systems is presented, where the authors present a discussion of this problem in terms of estimating the position and velocity of a moving acoustic source.
Journal ArticleDOI

Two-Way Pattern Grating Lobe Control for Distributed Digital Subarray Antennas

TL;DR: The approach to GL control presented here involves a combination of conventional suppression methods on the transmitting side and in the digital beamforming on the receiving side, filling the gaps between the subarrays with “virtual” elements, thus forming a contiguous array.
Journal ArticleDOI

Grating Lobe Suppression for Distributed Digital Subarrays Using Virtual Filling

TL;DR: In this article, a receiving array processing method is presented that synthesizes the antenna response of a contiguous array from the outputs of physically separated arrays of subarrays, which can be duplicated in a number of directions limited by the total number of elements.
ReportDOI

Ocean Surveillance Detection Studies. Part 1. Detection in Gaussian Mixture Noise. Part 2. An Investigation of Canonical Correlation as an Automatic Detection and Beamforming Technique

TL;DR: The theoretical results indicate that for a sufficient number of sensors, multiple, spatially separate signals, at the same frequency can be individually detected without knowledge of sensor position or using conventional beamforming.
References
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Book

Mathematical methods of statistics

TL;DR: In this article, Cramer joins two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probablists transformed the classical calculus of probability into a rigorous and purely mathematical theory.
Book ChapterDOI

An Introduction to Statistical Communication Theory

David Middleton
- 01 Dec 1961 - 
TL;DR: This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems.
Journal ArticleDOI

A Current Distribution for Broadside Arrays Which Optimizes the Relationship between Beam Width and Side-Lobe Level

C. L. Dolph
TL;DR: In this article, a one-parameter family of current distributions for symmetric broadside arrays of equally spaced point sources energized in phase was derived, and design curves relating the value of the parameter to side-lobe level as well as the relative current values expressed as a function of side lobe level were given for the cases of 8-, 12-, 16-, 20-, and 24-element linear arrays.
Journal ArticleDOI

The non-central chi2- and F-distributions and their applications.

Patnaik Pb
- 01 Jun 1949 - 
TL;DR: In this article, the Neyman-Pearson theory of testing statistical hypotheses, the efficiency of a statistical test is to be judged by its power of detecting departures from the null hypothesis.
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