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Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar

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Advances in Neural Networks – ISNN 2013 (ISNN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7951))

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Abstract

Impulse-radio Ultra-wide band (IR-UWB) radar plays an important role in searching and detecting human target in particular situations, such as counterterrorism, post-disaster search and rescue and so on. It mainly takes the advantages of its good penetrability through obstacles and high range resolution. It detects human target mainly by detecting the respiratory signal. As the higher order spectrum is immune to the Gaussian noise, a new algorithm based on the bispectrum analysis for human detection behind the wall is proposed. The results of the through-wall experiments show the algorithm has a better performance than the conventional PSD-based algorithm.

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Liu, M. et al. (2013). Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39065-4_81

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  • DOI: https://doi.org/10.1007/978-3-642-39065-4_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39064-7

  • Online ISBN: 978-3-642-39065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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