Joint Filter and Waveform Design for Radar STAP in Signal Dependent Interference (Preprint)

Abstract

Waveform design is a pivotal component of the fully adaptive radar construct. In this paper we consider waveform design for radar space time adaptive processing (STAP), accounting for the waveform dependence of the clutter correlation matrix. Due to this dependence, in general, the joint problem of receiver filter optimization and radar waveform design becomes an intractable, non-convex optimization problem. Nevertheless, it is however shown to be individually convex either in the filter or in the waveform variables. We derive constrained versions of: a) the alternating minimization algorithm, b) proximal alternating minimization, and c) the constant modulus alternating minimization, which, at each step, iteratively optimizes either the STAP filter or the waveform independently. A fast and slow time model permits waveform design in radar STAP but the primary bottleneck is the computational complexity of the algorithms.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2015
Accession Number
ADA627181

Entities

People

  • Muralidhar (Murali) Rangaswamy
  • Pawan Setlur

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computational Complexity
  • Detection
  • Detectors
  • Doppler Effect
  • Eigenvalues
  • Frequency
  • Gaussian Distributions
  • Optimization
  • Radar
  • Standards
  • Synthetic Aperture Radar
  • Waveforms
  • Waves

Fields of Study

  • Engineering

Readers

  • Operations Research
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space