Skip to main content

MSR Matrices Using Multipolar Expansions

  • 1319 Accesses

Part of the Lecture Notes in Mathematics book series (LNM,volume 2098)

Abstract

In this chapter we analyze the structure of the MSR matrices, using the multipolar expansions (4.46) and (5.8). We show the linear dependence of the multistatic data with respect to the GPTs or the FDPTs in which geometrical features of the target are encoded in a nonlinear way. As will be shown later, a least-squares approach will allow an accurate reconstruction of the GPTs or FDPTs from multistatic data.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and Permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ammari, H. et al. (2013). MSR Matrices Using Multipolar Expansions. In: Mathematical and Statistical Methods for Multistatic Imaging. Lecture Notes in Mathematics, vol 2098. Springer, Cham. https://doi.org/10.1007/978-3-319-02585-8_7

Download citation