Information Theoretic Radar Waveform Design for Multiple Targets

Abstract

In this paper we describe the optimization of an information theoretic criterion for radar waveform design. The method is used to design radar waveforms suitable for simultaneously estimating and tracking parameters of multiple targets. Our approach generalizes the information theoretic water-filling approach of Bell. The paper has two main contributions. First, a new information theoretic design criterion for designing multiple waveforms under a joint power constraint when beamforming is used both at transmitter and receiver. Then we provide a highly efficient algorithm for optimizing the transmitted waveforms, by approximating the information theoretic cost function. We show that using Lagrange relaxation the optimization problem can be decoupled into a parallel set of low-dimensional search problems at each frequency, with dimension defined by the number of targets instead of the number of frequency bands used.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA475632

Entities

People

  • Amir Leshem
  • Arye Nehorai
  • Oshri Naparstek

Organizations

  • Bar-Ilan University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Detection
  • Frequency
  • Frequency Response
  • Gaussian Processes
  • Information Theory
  • Mimo Radar
  • Multiple Input Multiple Output
  • Phased Array Radar
  • Phased Arrays
  • Radar
  • Radar Signatures
  • Signal Processing
  • Stochastic Processes
  • Targets
  • Transmitters
  • Waveforms

Fields of Study

  • Engineering

Readers

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