TY - GEN
T1 - Target Range-Doppler Estimation Method for Passive Radar Based on Compressed Sensing
AU - Sun, Quande
AU - Shan, Tao
AU - Feng, Yuan
AU - Wang, Tianrun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In order to solve the problem of low resolution in range-Doppler estimation of passive radar, a target range-Doppler estimation method for passive radar based on compressed sensing is proposed. Firstly, the range domain estimation is formulated as a distributed compressed sensing problem. Then, the distributed compressed sensing simultaneous fast matching pursuit algorithm is proposed to perform sparse reconstruction of range domain. Finally, the extend orthogonal matching pursuit algorithm is utilized to perform sparse reconstruction of Doppler domain. The verification of simulation and experimental data shows that the proposed method reduces the influence of the sidelobe, improves the resolution, and avoids the problem of large dictionary size and high time complexity.
AB - In order to solve the problem of low resolution in range-Doppler estimation of passive radar, a target range-Doppler estimation method for passive radar based on compressed sensing is proposed. Firstly, the range domain estimation is formulated as a distributed compressed sensing problem. Then, the distributed compressed sensing simultaneous fast matching pursuit algorithm is proposed to perform sparse reconstruction of range domain. Finally, the extend orthogonal matching pursuit algorithm is utilized to perform sparse reconstruction of Doppler domain. The verification of simulation and experimental data shows that the proposed method reduces the influence of the sidelobe, improves the resolution, and avoids the problem of large dictionary size and high time complexity.
KW - distributed compressed sensing simultaneous fast matching pursuit
KW - extend orthogonal matching pursuit
KW - passive radar
KW - range-Doppler
UR - http://www.scopus.com/inward/record.url?scp=85178996159&partnerID=8YFLogxK
U2 - 10.1109/ICCSN57992.2023.10297404
DO - 10.1109/ICCSN57992.2023.10297404
M3 - Conference contribution
AN - SCOPUS:85178996159
T3 - 2023 15th International Conference on Communication Software and Networks, ICCSN 2023
SP - 275
EP - 279
BT - 2023 15th International Conference on Communication Software and Networks, ICCSN 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Communication Software and Networks, ICCSN 2023
Y2 - 21 July 2023 through 23 July 2023
ER -