Skip to main content

Labeled RFS Filters

  • Chapter
  • First Online:
Target Tracking with Random Finite Sets
  • 162 Accesses

Abstract

The core of random finite sets (RFS) methods is the multi-target Bayesian filter [14, 15], which recursively propagates the filtering density of the multi-target state over time. Strictly speaking.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 National Defense Industry Press

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Wu, W., Sun, H., Zheng, M., Huang, W. (2023). Labeled RFS Filters. In: Target Tracking with Random Finite Sets. Springer, Singapore. https://doi.org/10.1007/978-981-19-9815-7_7

Download citation

Publish with us

Policies and ethics