System modeling and performance analysis for detection fusion of multiple arrays under low SNR

Zhen Hua Xu, Jian Guo Huang, Ling Ling Zhang, Qun Fei Zhang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

For solving the distributed detection fusion problem of underwater target detection, when the acoustic channel signal-to-noise ratio (SNR) is low, a new system model for the multi-array detection fusion system is proposed. Based on the estimation of acoustic channel and the principle of likelihood ratio test, the performance of detection fusion is studied and compared based on the principle of NP when the binary phase shift keying (BPSK) and on-off keying (OOK) modes are used by the local arrays. Both the theory analysis and simulation indicate that under low SNR condition, the probing system established by the proposed model could improve the detection performance effectively, the proposed model has high theoretical reference value to the establishment of the underwater target detection system.

Original languageEnglish
Pages (from-to)2418-2422
Number of pages5
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume33
Issue number11
DOIs
StatePublished - Nov 2011

Keywords

  • Detection fusion
  • Likelihood ratio test (LRT)
  • Low signal-to-noise (SNR)
  • Neyman-Pearson (NP) principle

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