Comparison of clutter rejection techniques for measurement of small displacements of body surface using radar

被引:7
作者
Okumura, S. [1 ]
Sakamoto, T. [1 ,3 ]
Sato, T. [1 ]
Yoshioka, M. [2 ]
Inoue, K. [2 ]
Fukuda, T. [2 ]
Sakai, H. [2 ]
机构
[1] Kyoto Univ, Grad Sch Informat, Yoshida Honmachi, Kyoto, Japan
[2] Panasonic Corp, Adv Res Div, Hikaridai 3-4, Seika, Kyoto, Japan
[3] Univ Hyogo, Grad Sch Engn, 2167 Shosha, Himeji, Hyogo, Japan
关键词
radar clutter; displacement measurement; Doppler radar; clutter rejection techniques; small displacements measurement; body surface; vital signs; time-varying echo phase; phase rotation angles; upper torso; human body; numerical analysis;
D O I
10.1049/el.2016.1461
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To measure vital signs using Doppler radar, a common approach involves the use of time-varying echo phase. To acquire these measurements, clutter rejection is necessary because clutter power is often larger than echo power. To reject static clutter, several techniques have been proposed that assume relatively large phase rotation angles because many studies assume the measurement of the upper torso, where displacement is mainly caused by respiration. However, signals from other parts of the human body are known to have smaller displacements that exhibit small phase rotation angles, which make clutter rejection more difficult. Three clutter rejection techniques for measuring small displacements are compared and their performances are investigated. Using numerical analysis, one method is demonstrated to be the most effective, even for small displacements in noisy data. The best method successfully estimates the centre with an error of -13.4 and -24.0 dB, with a signal-to-noise ratio of 10 and 40 dB and the range of phase rotation angles of 90 degrees and 15 degrees.
引用
收藏
页码:1635 / 1637
页数:2
相关论文
共 7 条
[1]   Noncontact Accurate Measurement of Cardiopulmonary Activity Using a Compact Quadrature Doppler Radar Sensor [J].
Hu, Wei ;
Zhao, Zhangyan ;
Wang, Yunfeng ;
Zhang, Haiying ;
Lin, Fujiang .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2014, 61 (03) :725-735
[2]   Assessment of Heart Rate Variability and Respiratory Sinus Arrhythmia via Doppler Radar [J].
Massagram, Wansuree ;
Lubecke, Victor M. ;
Host-Madsen, Anders ;
Boric-Lubecke, Olga .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2009, 57 (10) :2542-2549
[3]   Arctangent demodulation with DC offset compensation in quadrature Doppler radar receiver systems [J].
Park, Byung-Kwon ;
Boric-Lubecke, Olga ;
Lubecke, Victor M. .
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2007, 55 (05) :1073-1079
[4]   Feature-Based Correlation and Topological Similarity for Interbeat Interval Estimation Using Ultrawideband Radar [J].
Sakamoto, Takuya ;
Imasaka, Ryohei ;
Taki, Hirofumi ;
Sato, Toru ;
Yoshioka, Mototaka ;
Inoue, Kenichi ;
Fukuda, Takeshi ;
Sakai, Hiroyuki .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 63 (04) :747-757
[5]   Remote heartbeat monitoring from human soles using 60-GHz ultra-wideband radar [J].
Sakamoto, Takuya ;
Okumura, Shigeaki ;
Imanishi, Ryosuke ;
Taki, Hirofumi ;
Sato, Toru ;
Yoshioka, Mototaka ;
Inoue, Kenichi ;
Fukuda, Takeshi ;
Sakai, Hiroyuki .
IEICE ELECTRONICS EXPRESS, 2015, 12 (21)
[6]   A novel method for parameter estimation of digital arc [J].
Yuen, PC ;
Feng, GC .
PATTERN RECOGNITION LETTERS, 1996, 17 (09) :929-938
[7]   Comparison of Center Estimation Algorithms for Heart and Respiration Monitoring With Microwave Doppler Radar [J].
Zakrzewski, Mari ;
Raittinen, Harri ;
Vanhala, Jukka .
IEEE SENSORS JOURNAL, 2012, 12 (03) :627-634