A new track-before-detect algorithm based on track detection

Shu Lin Liu*, Xin Liang Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In order to solve the detection problem in the low signal-to-noise environment, a new track-before-detect (TBD) algorithm based on track detection is proposed. It employed both the track detection and energy integration detection methods. In the case of unknown target motion, the non-coherent integration could be accomplished effectively, which improves the signal to noise ratio and makes the detection performance better. Simulation result shows that whether in target constant motion or uniformly accelerated motion, the new method is more robust compared with other detection methods.

Original languageEnglish
Pages (from-to)1269-1272+1278
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume32
Issue number12
Publication statusPublished - Dec 2012

Keywords

  • Low signal-to-noise
  • Non-coherent integration
  • Track detection
  • Track-before-detect

Fingerprint

Dive into the research topics of 'A new track-before-detect algorithm based on track detection'. Together they form a unique fingerprint.

Cite this