TY - JOUR
T1 - Velocity Estimation of DRFM Jamming Source Based on Doppler Differences in Distributed Array Radar
AU - Pu, Weiming
AU - Zheng, Ziming
AU - Tian, Dezhi
AU - Liang, Zhennan
AU - Liu, Quanhua
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Jamming sensing plays a crucial role in radar electronic countermeasure, requiring the estimation of parameters such as jamming type and motion state of jamming source. Among various jamming types, digital radio frequency memory (DRFM) jamming modulates false doppler phase and distance, making it challenging to estimate the true velocity of the jamming source. This paper proposes a method for estimating the velocity of DRFM jamming source using the doppler differences in distributed array radar. The radar units in distributed radar system are deployed sparsely and work cooperatively. The true doppler phase of DRFM jamming source varies across radars, while the modulated false phase remains consistent within radars. Collaborating multiple radars can effectively eliminate the false phase. Distributed array radar systems typically have long baselines, making precise localization of radar units and achieving system synchronization challenging. The algorithm proposed in this paper does not rely on the location of each radar and does not require coherence processing of echoes among radars, thereby reducing constraints on the distributed array radar system. The effectiveness of the algorithm is validated through simulations in this paper.
AB - Jamming sensing plays a crucial role in radar electronic countermeasure, requiring the estimation of parameters such as jamming type and motion state of jamming source. Among various jamming types, digital radio frequency memory (DRFM) jamming modulates false doppler phase and distance, making it challenging to estimate the true velocity of the jamming source. This paper proposes a method for estimating the velocity of DRFM jamming source using the doppler differences in distributed array radar. The radar units in distributed radar system are deployed sparsely and work cooperatively. The true doppler phase of DRFM jamming source varies across radars, while the modulated false phase remains consistent within radars. Collaborating multiple radars can effectively eliminate the false phase. Distributed array radar systems typically have long baselines, making precise localization of radar units and achieving system synchronization challenging. The algorithm proposed in this paper does not rely on the location of each radar and does not require coherence processing of echoes among radars, thereby reducing constraints on the distributed array radar system. The effectiveness of the algorithm is validated through simulations in this paper.
KW - DIGITAL RADIO FREQUENCY MEMORY
KW - DISTRIBUTED ARRAY RADAR
KW - VELOCITY ESTIMATION
UR - http://www.scopus.com/inward/record.url?scp=85203144835&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1110
DO - 10.1049/icp.2024.1110
M3 - Conference article
AN - SCOPUS:85203144835
SN - 2732-4494
VL - 2023
SP - 387
EP - 392
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -