TY - GEN
T1 - Sparse-based disturbance cancellation approach for passive radar
AU - Bai, Xia
AU - Han, Jiatong
AU - Zhao, Juan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The clutter cancellation is a required step in passive radar signal processing. In order to suppress the clutter, adaptive filter is an effective method. Considering that clutter is consisted of a few dominating points reflection, in this paper we propose a sparse-based disturbance cancellation algorithm, which exploits generalized orthogonal matching pursuit (GOMP) to speed up the computational process of solving the linear equation problem. After formulating the data model of received signal in matrix form, the greedy algorithms are employed to reconstruct clutter, which can be cancelled in subsequent step. Finally a range-Doppler algorithm is implemented. Simulation results verify the accuracy and effectiveness of the proposed algorithm.
AB - The clutter cancellation is a required step in passive radar signal processing. In order to suppress the clutter, adaptive filter is an effective method. Considering that clutter is consisted of a few dominating points reflection, in this paper we propose a sparse-based disturbance cancellation algorithm, which exploits generalized orthogonal matching pursuit (GOMP) to speed up the computational process of solving the linear equation problem. After formulating the data model of received signal in matrix form, the greedy algorithms are employed to reconstruct clutter, which can be cancelled in subsequent step. Finally a range-Doppler algorithm is implemented. Simulation results verify the accuracy and effectiveness of the proposed algorithm.
KW - Generalized Orthogonal Matching Pursuit (GOMP)
KW - adaptive filter
KW - disturbance cancellation
KW - passive radar
KW - sparsity
UR - http://www.scopus.com/inward/record.url?scp=85050403850&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2017.8282070
DO - 10.1109/APSIPA.2017.8282070
M3 - Conference contribution
AN - SCOPUS:85050403850
T3 - Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
SP - 432
EP - 436
BT - Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -