Finite Sampling Considerations for GMTI STAP and Sensor Modeling

Abstract

The continuing objectives of Project 5518 are to develop and enhance the simulation capabilities for evaluating advanced modular sensor designs such as MP-RTIP and Global Hawk. The use of reduced subspace Space Time Adaptive Processing (STAP) architectures increases the probability of detection and improves the minimum detectable velocity (MDV). References [1 and 2] discuss the details of earlier steady state performance evaluation for a Global Hawk weight compliant system using these architectures. This report will present the effects of finite sampling on system performance using the properties of the Wishart distribution and will present a method by which some of the finite sample losses may be recovered through subaperture processing to improve the performance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA460216

Entities

People

  • B. M. Suresh Babu
  • T. P. Guella

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Airborne
  • Antennas
  • Arrays
  • Computer Simulations
  • Computers
  • Covariance
  • Distribution Functions
  • Probability
  • Probability Density Functions
  • Probability Distribution Functions
  • Probability Distributions
  • Random Variables
  • Sampling
  • Simulations
  • Statistical Analysis
  • Steady State
  • X Band

Readers

  • Radar Systems Engineering.
  • Statistical inference.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Space
  • Space - Space Objects