Estimation of the Time of Arrival of Underwater Acoustic Signals by Spline Functions. 1. An Introduction

Abstract

The underwater acoustic signal is represented by a spline curve whose initial knot lies in the interval of measurement so that it may be used to determine the time-of-arrival of the acoustic signal. The first section is devoted to demonstrate a computational procedure of spline functions using the Bernstein representations, so that the coefficient matrices in the penalized least-squares problem can be determined much more efficiently. Since the coefficient matrices are usually singular when the discrete least-squares problem is considered. the second section discusses the singular value decomposition and Moore-Penroe inverses. The extremal problem that characterizes the time-of-arrival is discussed in Section 3, where existence, uniqueness, and characterization results are obtained. In particular, when linear splines are used, the extremal problem has a very elegant formulation that can be easily implemented in the computer. (KR)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA229300

Entities

People

  • Charles K. Chui

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Acoustic Signals
  • Algorithms
  • Coefficients
  • Computational Science
  • Computations
  • Decomposition
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Intervals
  • Linear Algebra
  • Mathematical Models
  • Measurement
  • Numbers
  • Standards
  • Time Intervals
  • Vector Spaces

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Statistical inference.