TY - GEN
T1 - Near space maneuvering target detection based on polynomial Fourier transform and Lv's distribution
AU - Zhang, Yaotian
AU - Cheng, Qifan
AU - Sun, Jingping
AU - Zhang, Hongbo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - In the case of coherent integration technique for near space maneuvering targets, the integration performance may be greatly affected by the problems involving across range unit (ARU) and Doppler frequency migration (DFM). Based on polynomial Fourier transform (PFT) and Lv's distribution (LVD), this paper proposes an efficient coherent integration method. It can not only correct the ARU effect, including range migration and range curvature by PFT, but also eliminate the effect of DFM and achieve the coherent integration via LVD. Compared with the existing methods, such as Radon-Fourier transform (RFT), fractional Fourier transform (FRFT), the proposed method is superior to them under low signal-to-noise ratio (SNR) environments and can obtain better estimation about target motion parameter including velocity and acceleration as well. Finally, simulation results verify the effectiveness of the proposed method.
AB - In the case of coherent integration technique for near space maneuvering targets, the integration performance may be greatly affected by the problems involving across range unit (ARU) and Doppler frequency migration (DFM). Based on polynomial Fourier transform (PFT) and Lv's distribution (LVD), this paper proposes an efficient coherent integration method. It can not only correct the ARU effect, including range migration and range curvature by PFT, but also eliminate the effect of DFM and achieve the coherent integration via LVD. Compared with the existing methods, such as Radon-Fourier transform (RFT), fractional Fourier transform (FRFT), the proposed method is superior to them under low signal-to-noise ratio (SNR) environments and can obtain better estimation about target motion parameter including velocity and acceleration as well. Finally, simulation results verify the effectiveness of the proposed method.
KW - Lv's distribution
KW - maneuvering target detection
KW - near space
KW - parameter estimation
KW - polynomial Fourier transform
UR - https://www.scopus.com/pages/publications/85047376447
U2 - 10.1109/CISP-BMEI.2017.8302151
DO - 10.1109/CISP-BMEI.2017.8302151
M3 - 会议稿件
AN - SCOPUS:85047376447
T3 - Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
SP - 1
EP - 5
BT - Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
A2 - Li, Qingli
A2 - Wang, Lipo
A2 - Zhou, Mei
A2 - Sun, Li
A2 - Qiu, Song
A2 - Liu, Hongying
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
Y2 - 14 October 2017 through 16 October 2017
ER -