TY - JOUR
T1 - Distributed Target Detection Based on the Volume Cross-Correlation Function
AU - Xiao, Le
AU - Li, Hongbin
AU - Liu, Yimin
AU - Wang, Xiqin
N1 - Publisher Copyright:
© 1994-2012 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - This letter addresses the detection of a subspace distributed target signal obscured by disturbance. The disturbance consists of a clutter component with an unknown subspace structure and a white noise component with unknown noise power. A detection strategy is proposed based on the volume cross-correlation function, which provides a metric that measures the linear (in) dependency between two subspaces. Simulation results indicate that the proposed detector can achieve better performance than several peer methods, without resorting to secondary data and a priori knowledge about the clutter subspace including its rank.
AB - This letter addresses the detection of a subspace distributed target signal obscured by disturbance. The disturbance consists of a clutter component with an unknown subspace structure and a white noise component with unknown noise power. A detection strategy is proposed based on the volume cross-correlation function, which provides a metric that measures the linear (in) dependency between two subspaces. Simulation results indicate that the proposed detector can achieve better performance than several peer methods, without resorting to secondary data and a priori knowledge about the clutter subspace including its rank.
KW - Distributed target detection
KW - subspace target
KW - volume cross-correlation (VCC) function
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U2 - 10.1109/LSP.2018.2875565
DO - 10.1109/LSP.2018.2875565
M3 - Article
AN - SCOPUS:85055028019
SN - 1070-9908
VL - 25
SP - 1785
EP - 1789
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 12
M1 - 8490697
ER -