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<p>For distributed electronic reconnaissance system, this article proposes a deinterleaving approach of pulse signals received by all processing nodes. In this approach, the initial pulse’s time-of-arrival (TOA) and pulse repetition interval (PRI) of correlative sub-pulse trains are firstly estimated based on the cross-correlation function of multiple pulse trains received by different processing nodes. Then, the interleaved pulse train is separated into multiple sub-pulse trains by the fusion of estimate data on multiple nodes. Next, the position of emitted source is estimated by using the time difference of arrival (TDOA) of the multiple sub-pulse trains between processing nodes. Finally, the interleaved pulse train is separated by combining PRI and the position information. For pulse signals with the same PRI but belonged to different sources, the proposed approach can effectively separate them and identify their PRI modulation mode. The results of simulation show that the proposed approach has better robustness to the pulse missing.</p>

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A deinterleaving approach of pulse signals in distributed system

  • 期刊论文

  • 发表日期：

    2025年9月10日

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  • Jianwu Tao,
  • Lianxiang Xu,
  • Shiru Guo

摘要

For distributed electronic reconnaissance system, this article proposes a deinterleaving approach of pulse signals received by all processing nodes. In this approach, the initial pulse’s time-of-arrival (TOA) and pulse repetition interval (PRI) of correlative sub-pulse trains are firstly estimated based on the cross-correlation function of multiple pulse trains received by different processing nodes. Then, the interleaved pulse train is separated into multiple sub-pulse trains by the fusion of estimate data on multiple nodes. Next, the position of emitted source is estimated by using the time difference of arrival (TDOA) of the multiple sub-pulse trains between processing nodes. Finally, the interleaved pulse train is separated by combining PRI and the position information. For pulse signals with the same PRI but belonged to different sources, the proposed approach can effectively separate them and identify their PRI modulation mode. The results of simulation show that the proposed approach has better robustness to the pulse missing.