A novel through-wall respiration detection algorithm using UWB radar

Through-wall respiration detection using Ultra-wideband (UWB) impulse radar can be applied to the post-disaster rescue, e.g., searching living persons trapped in ruined buildings after an earthquake. Since strong interference signals always exist in the real-life scenarios, such as static clutter, noise, etc., while the respiratory signal is very weak, the signal to noise and clutter ratio (SNCR) is quite low. Therefore, through-wall respiration detection using UWB impulse radar under low SNCR is a challenging work in the research field of searching survivors after disaster. In this paper, an improved UWB respiratory signal model is built up based on an even power of cosine function for the first time. This model is used to reveal the harmonic structure of respiratory signal, based on which a novel high-performance respiration detection algorithm is proposed. This novel algorithm is assessed by experimental verification and simulation and shows about a 1.5dB improvement of SNR and SNCR.

[1]  I.Y. Immoreev,et al.  Practical Application of Ultra-Wideband Radars , 2006, 2006 3rd International Conference on Ultrawideband and Ultrashort Impulse Signals.

[2]  Alexander G. Yarovoy,et al.  Experimental study on human being detection using UWB radar , 2006, 2006 International Radar Symposium.

[3]  Alan V. Oppenheim,et al.  Discrete-time signal processing (2nd ed.) , 1999 .

[4]  M. Aftanas,et al.  Detection and tracking of moving or trapped people hidden by obstacles using ultra-wideband pseudo-noise radar , 2008, 2008 European Radar Conference.

[5]  Guangyou Fang,et al.  A Novel Method for Automatic Detection of Trapped Victims by Ultrawideband Radar , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Melvin J. Hinich.  Detecting a hidden periodic signal when its period is unknown , 1982 .

[7]  Amer Nezirovic,et al.  Stationary clutter- and linear-trend suppression in impulse-radar-based respiratory motion detection , 2011, 2011 IEEE International Conference on Ultra-Wideband (ICUWB).

[8]  Qiang Wang,et al.  Life signal extraction in through-the-wall surveillance , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  M. V. van Herk,et al.  Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. , 2002, International journal of radiation oncology, biology, physics.

[10]  Olga Boric-Lubecke,et al.  A new algorithm for detection of heart and respiration rate with UWB signals , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  Alexander G. Yarovoy,et al.  Signal Processing for Improved Detection of Trapped Victims Using UWB Radar , 2010, IEEE Trans. Geosci. Remote. Sens..

[12]  A. Stelzer,et al.  Non-invasive respiratory movement detection and monitoring of hidden humans using ultra wideband pulse radar , 2004, 2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies. Joint UWBST & IWUWBS 2004 (IEEE Cat. No.04EX812).

[13]  Benjamin E. Barrowes,et al.  Through-Wall Bio-Radiolocation With UWB Impulse Radar: Observation, Simulation and Signal Extraction , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.