Waveform Design for MIMO Radar Using an Alternating Projection Approach

Abstract

Revisiting an earlier examined multiple-input multiple-output (MIMO) radar waveform design problem which optimizes both minimum mean-square error estimation (MMSE) and mutual information (MI), we formulate a new waveform design problem and provide some further results in this paper, which complements the previous study. More specifically, we present an iterative optimization algorithm based on the alternating projection method, to determine waveform solutions that can simultaneously satisfy a structure constraint and optimize the design criteria. Numerical examples are provided, which illustrate the effectiveness of the proposed approach. In particular, we find that the waveform solutions obtained through our proposed algorithm can achieve very close and virtually indistinguishable performance from that predicted in the previous study.

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Document Details

Document Type
Technical Report
Publication Date
Jan 23, 2010
Accession Number
ADA520779

Entities

People

  • Daniel R. Fuhrmann
  • Rick Blum
  • Yang Yang
  • Zishu He

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Data Science
  • Design Criteria
  • Factor Analysis
  • Information Science
  • Military Research
  • Mimo Radar
  • Multiple Input Multiple Output
  • Numbers
  • Optimization
  • Order Statistics
  • Radar
  • Statistics
  • Theorems
  • Universities
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.