Modified generalised likelihood ratio test for detecting a regular respiratory signal in through-wall life detection

In disaster rescue, trapped survivors with regular respiration can be located, by detecting regular respiratory signals (RRSs) acquired with life-detection radar systems. RRSs are often weak in these scenarios, due to the attenuation of the electromagnetic waves that propagate through debris. Thus, detecting RRSs under low signal-to-noise ratio is a key challenge in this application. In this study, RRS detection in additive white Gaussian noise was investigated from a statistical signal processing viewpoint, and a modified generalised-likelihood ratio test (GLRT) was derived. With proper parameter settings, the modified GLRT (MG) could achieve a notable detection gain over the periodogram test and the harmogram test, two classical periodic signal detectors. Thus, the proposed MG could be used to improve the detection performance of the life-detection radar systems used in disaster rescue applications.

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

[2]  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.

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

[4]  Sixin Liu,et al.  Remote Detection of Human Vital Sign With Stepped-Frequency Continuous Wave Radar , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[5]  Lorenzo Crocco,et al.  A review on ground penetrating radar technology for the detection of buried or trapped victims , 2014, 2014 International Conference on Collaboration Technologies and Systems (CTS).

[6]  E. Larsen,et al.  A method for incorporating organ motion due to breathing into 3D dose calculations. , 1999, Medical physics.

[7]  Steve B. Jiang,et al.  Accurate Respiration Measurement Using DC-Coupled Continuous-Wave Radar Sensor for Motion-Adaptive Cancer Radiotherapy , 2012, IEEE Transactions on Biomedical Engineering.

[8]  Xin Li,et al.  A novel through-wall respiration detection algorithm using UWB radar , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

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

[11]  Robert M. Gagliardi.  Noncoherent detection of periodic signals , 1975, IEEE Trans. Inf. Theory.

[12]  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.

[13]  Steve B. Jiang,et al.  A finite state model for respiratory motion analysis in image guided radiation therapy. , 2004, Physics in medicine and biology.

[14]  Changzhan Gu,et al.  From Tumor Targeting to Speech Monitoring , 2014 .

[15]  Irving S. Reed,et al.  A comparison of average-likelihood and maximum-likelihood ratio tests for detecting radar targets of unknown Doppler frequency , 1968, IEEE Trans. Inf. Theory.

[16]  Kon Max Wong,et al.  Detection of harmonic sets , 1995, IEEE Trans. Signal Process..

[17]  Xin Li,et al.  An analytical model for regular respiratory signal , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[18]  Changzhan Gu,et al.  From Tumor Targeting to Speech Monitoring: Accurate Respiratory Monitoring Using Medical Continuous-Wave Radar Sensors , 2014, IEEE Microwave Magazine.

[19]  Guy A. Dumont,et al.  CapnoBase: Signal database and tools to collect, share and annotate respiratory signals , 2010 .

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

[21]  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).

[22]  Yong Huang,et al.  Microwave life-detection systems for searching human subjects under earthquake rubble or behind barrier , 2000, IEEE Transactions on Biomedical Engineering.