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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Zetik, R., Crabbe, S., Krajnak, J., Peyerl, P., Sachs, J., Thomä, R.: Detection and localization of persons behind obstacles using M-sequence through-the-wall radar. In: Proceedings of SPIE, pp. 145–156 (2006)
Sachs, J., Aftanas, M., Crabbe, S., Drutarovsky, M., Klukas, R., Kocur, D., Nguyen, T., Peyerl, P., Rovnakova, J., Zaikov, E.: Detection and tracking of moving or trapped people hidden by obstacles using ultra-wideband pseudo-noise radar. In: European EuRAD 2008, pp. 408–411 (2008)
Ossberger, G., Buchegger, T., Schimback, E., Stelzer, A., Weigel, R.: Non-invasive respiratory movement detection and monitoring of hidden humans using ultra wideband pulse radar. In: 2004 International Workshop on Ultra Wideband Systems, Joint with Conference on Ultrawideband Systems and Technologies, Joint UWBST & IWUWBS, pp. 395–399 (2004)
Levitas, B., Matuzas, J.: UWB Radar for Human Being Detection Behind the Wall. In: International Radar Symposium, IRS 2006, pp. 1–3 (2006)
Zaikov, E., Sachs, J., Aftanas, M., Rovnakova, J.: Detection of trapped people by UWB radar. In: German Microwave Conference (GeMIC), pp. 1–4 (2008)
Yarovoy, A., Ligthart, L., Matuzas, J., Levitas, B.: UWB radar for human being detection. IEEE Aerospace and Electronic Systems Magazine 21, 10–14 (2006)
Venkatesh, S., Anderson, C.R., Rivera, N.V., Buehrer, R.M.: Implementation and analysis of respiration-rate estimation using impulse-based UWB. In: IEEE Military Communications Conference, MILCOM 2005, pp. 3314–3320 (2005)
Nezirovic, A., Yarovoy, A.G., Ligthart, L.P.: Signal processing for improved detection of trapped victims using UWB radar. IEEE Transactions on Geoscience and Remote Sensing 48, 2005–2014 (2010)
Li, Y., Jing, X., Lv, H., Wang, J.: Analysis of characteristics of two close stationary human targets detected by impulse radio UWB radar. Progress in Electromagnetics Research 126, 429–447 (2012)
Stoica, P., Moses, R.L.: Introduction to spectral analysis. Prentice Hall, Upper Saddle River (1997)
Singh, M., Ramachandran, G.: Reconstruction of sequential cardiac in-plane displacement patterns on the chest wall by laser speckle interferometry. IEEE Transactions on Biomedical Engineering 38, 483–489 (1991)
Chernyak, V.: Detection problem for searching survivors in rubble with UWB radars. In: European Radar Conference, EuRAD 2008, pp. 44–47 (2008)
Nikias, C.L., Raghuveer, M.R.: Bispectrum estimation: A digital signal processing framework. Proceedings of the IEEE 75, 869–891 (1987)
Lazaro, A., Girbau, D., Villarino, R.: Analysis of vital signs monitoring using an IR-UWB radar. Progress in Electromagnetics Research 100, 265–284 (2010)
Li, W., Jing, X., Li, Z., Wang, J.: A new algorithm for through wall human respiration monioring using GPR. In: 2012 14th International Conference on Ground Penetrating Radar (GPR), pp. 947–952 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)