TY - GEN
T1 - Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs
AU - Kong, Zicheng
AU - Tian, Jing
AU - Ning, Chen
AU - Cui, Wei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.
AB - Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.
KW - Iterative adaptive approach
KW - Keystone transform
KW - radar
KW - range-Doppler imaging
KW - sidelobe suppression
UR - http://www.scopus.com/inward/record.url?scp=85163728584&partnerID=8YFLogxK
U2 - 10.1109/RadarConf2351548.2023.10149568
DO - 10.1109/RadarConf2351548.2023.10149568
M3 - Conference contribution
AN - SCOPUS:85163728584
T3 - Proceedings of the IEEE Radar Conference
BT - RadarConf23 - 2023 IEEE Radar Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Radar Conference, RadarConf23
Y2 - 1 May 2023 through 5 May 2023
ER -