An approach for extracting independent micro-Doppler characteristics of multiple targets based on underdetermined blind source separation

Kunyi Guo, Yongli Zhang, Xinqing Sheng*, Ronghui Shen, Congjun Jin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Nowadays the existing approach to extract various micro Doppler characteristics from backscattered signals by multi-targets usually employ blind source separation technique based on independent component analysis. However, this approach has a great limitation in real application. First, micro Doppler characteristics to be separated must be statistically independent; second, independent component analysis method is generally limited to the conditions of exact determined or over determined equations. Under the radar scene with multiple targets, the number of radar signal receivers is commonly less than the number of targets, as well as the micro Doppler characteristics may not satisfy the independent condition, which makes micro Doppler characteristics extraction more difficult. In order to solve these problems, an approach based on underdetermined blind source separation method is pro-posed in this paper. The approach not only work well for the situation that the number of received radar signals is less than that of targets, but also has fewer limitations in the micro Doppler characteristic to be separated. The simulation presented in this paper validates the proposed extraction approach.

Original languageEnglish
Pages (from-to)691-695+759
JournalDianbo Kexue Xuebao/Chinese Journal of Radio Science
Volume27
Issue number4
Publication statusPublished - Aug 2012

Keywords

  • Continuous wave radar
  • Micro-Doppler
  • Sparseness
  • Time-frequency representation
  • Underdetermined blind source separation (UBSS)

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