TY - JOUR
T1 - Remote Blind Motion Separation Using a Single-Tone SIMO Doppler Radar Sensor
AU - Gu, Zhitao
AU - Fan, Tenglong
AU - Lv, Qinyi
AU - Chen, Jialong
AU - Ye, Dexin
AU - Huangfu, Jiangtao
AU - Sun, Yongzhi
AU - Zhu, Weiqiang
AU - Li, Changzhi
AU - Ran, Lixin
N1 - Funding Information:
Manuscript received January 19, 2018; revised May 28, 2018; accepted July 1, 2018. Date of publication August 1, 2018; date of current version December 24, 2018. This work was supported in part by the NSFC under Grant 61771421, Grant 61771422, and Grant 6147135, and in part by the Program for the Top Young Innovative Talents under Grant Q1313-03. (Corresponding author: Lixin Ran.) Z. Gu, T. Fan, Q. Lv, J. Chen, D. Ye, J. Huangfu, and L. Ran are with the Laboratory of Applied Research on Electromagnetics, Zhejiang University, Hangzhou 310027, China (e-mail: ranlx@zju.edu.cn).
Publisher Copyright:
© 1980-2012 IEEE.
PY - 2019/1
Y1 - 2019/1
N2 - It is a challenging task for a continuous-wave Doppler radar sensor (DRS) to linearly separate independent motions without any prior information. In this paper, a low-IF single-input multiple-output (SIMO) DRS system is designed and implemented for motion separation. The SIMO DRS system detects the signals scattered off multiple objects, and a two-step blind motion separation approach is proposed to separate motions from the DRS output. Experiments show that the SIMO DRS and the proposed motion separation approach can successfully separate combinations of triangular, sinusoidal, and random motions, as long as the velocities or initial phases of such motions are different. With the two-step approach sequentially tackling the signal separation and the nonlinear demodulation problems, both small-and large-scale independent motions can be linearly separated. These results imply the potential in practical applications of short-range tracking and localization of moving objects.
AB - It is a challenging task for a continuous-wave Doppler radar sensor (DRS) to linearly separate independent motions without any prior information. In this paper, a low-IF single-input multiple-output (SIMO) DRS system is designed and implemented for motion separation. The SIMO DRS system detects the signals scattered off multiple objects, and a two-step blind motion separation approach is proposed to separate motions from the DRS output. Experiments show that the SIMO DRS and the proposed motion separation approach can successfully separate combinations of triangular, sinusoidal, and random motions, as long as the velocities or initial phases of such motions are different. With the two-step approach sequentially tackling the signal separation and the nonlinear demodulation problems, both small-and large-scale independent motions can be linearly separated. These results imply the potential in practical applications of short-range tracking and localization of moving objects.
KW - Cocktail party effect
KW - Doppler radar sensor (DRS)
KW - motions separation
KW - single-input multiple-output (SIMO)
UR - http://www.scopus.com/inward/record.url?scp=85050969072&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2018.2856902
DO - 10.1109/TGRS.2018.2856902
M3 - Article
AN - SCOPUS:85050969072
VL - 57
SP - 462
EP - 472
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
SN - 0196-2892
IS - 1
M1 - 8424073
ER -