Title :
A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging
Author :
Tivive, Fok Hing Chi ; Bouzerdoum, Abdesselam
Author_Institution :
Sch. of Electr., Univ. of Wollongong, Wollongong, NSW, Australia
Abstract :
In through-the-wall radar imaging, targets behind the wall reflect weak electromagnetic signals that are obscured by the strong returns from exterior wall, rendering the detection and classification of indoor stationary targets very difficult. In this paper, a tensor-based subspace method is proposed for wall clutter mitigation. The radar signals received from the antenna array are transformed into a data tensor. Higher-order singular value decomposition is used to segregate the wall reflections from the target returns. Simulation and experimental results show that the proposed method is effective in removing reflections backscattered from both homogeneous and heterogeneous walls.
Keywords :
antenna arrays; radar clutter; radar imaging; singular value decomposition; antenna array; higher-order singular value decomposition; indoor stationary targets; tensor-based subspace wall clutter mitigation method; through-the-wall radar imaging; Antenna arrays; Arrays; Clutter; Radar antennas; Radar imaging; Tensile stress; HOSVD; Subspace projection; Tensor; Through-the-Wall radar imaging; Wall clutter mitigation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178411