TY - JOUR
T1 - Improved weak space object tracking assisted by strong target
AU - Zeng, Tao
AU - Li, Chunxia
AU - Liu, Quanhua
AU - Chen, Xinliang
N1 - Publisher Copyright:
© 2015. The Institution of Engineering and Technology.
PY - 2015/8/1
Y1 - 2015/8/1
N2 - Radar sensor is a promising candidate for space surveillance, providing timely assessment of space objects and events. Weak space target tracking is a challenging conundrum mainly because of the low detection probability and poor measurement accuracy. In this study, a novel method of weak space target tracking assisted by strong space target is proposed. By introducing the relative motion tracking, the steady-state estimates of strong target are utilised to improve the state estimation of weak target. Compared with weak target tracking without strong target assistance, the proposed tracking method can provide higher state estimation accuracy, faster convergence rate and better track validity probability for weak target. The results of numerical simulations have validated the effectiveness of the proposed technique.
AB - Radar sensor is a promising candidate for space surveillance, providing timely assessment of space objects and events. Weak space target tracking is a challenging conundrum mainly because of the low detection probability and poor measurement accuracy. In this study, a novel method of weak space target tracking assisted by strong space target is proposed. By introducing the relative motion tracking, the steady-state estimates of strong target are utilised to improve the state estimation of weak target. Compared with weak target tracking without strong target assistance, the proposed tracking method can provide higher state estimation accuracy, faster convergence rate and better track validity probability for weak target. The results of numerical simulations have validated the effectiveness of the proposed technique.
UR - http://www.scopus.com/inward/record.url?scp=84937867017&partnerID=8YFLogxK
U2 - 10.1049/iet-rsn.2014.0082
DO - 10.1049/iet-rsn.2014.0082
M3 - Article
AN - SCOPUS:84937867017
SN - 1751-8784
VL - 9
SP - 751
EP - 757
JO - IET Radar, Sonar and Navigation
JF - IET Radar, Sonar and Navigation
IS - 7
ER -