Second-Order Cone Formulations of Mixed-Norm Error Constraints for FIR Filter Optimization

Abstract

It has been previously shown that second-order cone programming (SOCP) can be used to efficiently optimize FIR filter frequency responses in the sense of L1, L2, and Linf. Although SOCP cannot be used for the more general case of Lp minimization, two techniques for combining norms provide the flexibility to minimize a continuum of norms from L1 to Linf. The recently introduced vector epsilon-norm is here extended to complex functions on an interval of the real line, and is compared with a simple convex combination of norms. The dual norms of both are found as well. Discretized approximations of these norms can be used for filter design with SOCP, as shown by several examples.

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Document Details

Document Type
Technical Report
Publication Date
Jun 25, 2010
Accession Number
ADA523252

Entities

People

  • Dan P. Scholnik
  • Jeffrey O. Coleman

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Banach Space
  • Computer Programming
  • Decomposition
  • Digital Filters
  • Filters
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Inequalities
  • Linear Programming
  • Military Research
  • Optimization
  • Radar
  • Second Order Cone Programming
  • Specifications
  • Weighting Functions

Readers

  • Chemistry (specifically Chemical Fluorescence)
  • Linear Algebra
  • Phased Array Antenna Design.