Analysis of a Linearly Constrained Least Squares Algorithm for Adaptive Beamforming

Abstract

The problem of linearly constrained least squares has many applications in signal processing. In this paper, we present a perturbation analysis of a linearly constrained least squares algorithm for adaptive beamforming. The perturbation bounds for the solution as well as for the latest residual element are derived. We also propose an error estimation scheme for the residual element, which can be incorporated into a systolic array implementation of the algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1992
Accession Number
ADA255017

Entities

People

  • Franklin T. Luk
  • Sanzheng Qiao

Organizations

  • Cornell University

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computations
  • Computer Science
  • Engineering
  • Equations
  • Mathematical Analysis
  • Mathematics
  • Military Research
  • New York
  • Perturbations
  • Preprocessing
  • Real Variables
  • Residuals
  • Signal Processing
  • Universities

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Parallel and Distributed Computing.
  • Statistical inference.