http://iet.metastore.ingenta.com
1887

Human Detection With Radar: Dismount Detection

Human Detection With Radar: Dismount Detection

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Principles of Modern Radar: Advanced techniques — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This chapter provides a brief overview of current systems and development efforts, kinematic and RCS models, technical challenges, and recently proposed novel ideas relating to human detection with radar. The expected radar return for a human target was analytically derived and the most widely used human kinematic model, the Boulic-Thalmann model, was described in detail. The concept of human micro-Doppler was introduced, along with the concept of human spectrograms and the application of spectrogram analysis for classification and identification of detected targets. Key technical challenges in human detection, such as the limitations of GMTI radars, STAP processors, and Fourier-based detectors, were presented, along with a brief introduction to knowledge-aided ideas that have been proposed as a solution to some of these issues. There has been much progress in the field of human detection. However, there remains much work to be done to fully resolve questions in human modeling, kinematics, radar cross section, dismount detection, and target classification algorithm design. Advanced topics beyond the scope of this chapter but that also constitute important applications of human radar detection include the following: through-the wall detection of humans, which aims at using ultra wideband radar to detect human respiration, for important applications, such as indoor surveillance and human search and rescue of fire and earthquake victim: synthetic aperture radar detection and imaging of human targets: radar networks for border security and surveillance.

Chapter Contents:

  • 16.1 Introduction
  • 16.2 Characterizing the Human Radar Return
  • 16.3 Spectrogram Analysis of Human Returns
  • 16.4 Technical Challenges in Human Detection
  • 16.5 Exploiting Knowledge for Detection and Classification
  • 16.6 Summary
  • 16.7 Further Reading
  • 16.8 References
  • 16.9 Problems

Inspec keywords: signal classification; synthetic aperture radar; Doppler radar; radar detection; radar cross-sections; Fourier transforms; ultra wideband radar

Other keywords: through-the wall detection; human respiration detection; radar networks; Boulic-Thalmann model; RCS model; ground moving target indication; dismount detection; human kinematic model; Fourier-based detectors; target classification; synthetic aperture radar detection; ultra wideband radar; human radar detection; target identification; human search; radar cross section; human target; human spectrograms; GMTI radars; STAP processors; indoor surveillance; border security; human microDoppler

Subjects: Integral transforms; Radar equipment, systems and applications; Signal detection

Preview this chapter:
Zoom in
Zoomout

Human Detection With Radar: Dismount Detection, Page 1 of 2

| /docserver/preview/fulltext/books/ra/sbra020e/SBRA020E_ch16-1.gif /docserver/preview/fulltext/books/ra/sbra020e/SBRA020E_ch16-2.gif

Related content

content/books/10.1049/sbra020e_16
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address