TY - GEN
T1 - Variable Velocity Ambiguity Numbers Compensation Method for Near Space Target Detection
AU - Zhang, Kaina
AU - Shan, Tao
AU - Zhang, Hongchi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Near space target is of high velocity and high acceleration, which will result in the velocity ambiguity, range migration (RM), and Doppler frequency migration (DFM). To achieve good performance of coherent integration, the velocity ambiguity, RM and DFM should be mitigated. Due to the high acceleration of the target, the velocity ambiguity numbers may vary in the coherent integration time, which leads to the decrease of the signal-to-noise ratio (SNR). A variable velocity ambiguity numbers compensation method is proposed in this paper. The signal is divided into two segments according to the position where the velocity ambiguity number changes, which is obtained by searching. To correct the RM and DFM, the second-order Keystone transform (SKT) and the fractional Fourier transform (FRFT) are combined. The initial phases of the two segments are different. Therefore, the initial range and velocity of the second segment are compensated based on the target parameters. The proposed method solves the problem of variable velocity ambiguity numbers in the coherent integration time, which improves the performance of target detection. Finally, the effectiveness of the proposed method is verified through simulation results.
AB - Near space target is of high velocity and high acceleration, which will result in the velocity ambiguity, range migration (RM), and Doppler frequency migration (DFM). To achieve good performance of coherent integration, the velocity ambiguity, RM and DFM should be mitigated. Due to the high acceleration of the target, the velocity ambiguity numbers may vary in the coherent integration time, which leads to the decrease of the signal-to-noise ratio (SNR). A variable velocity ambiguity numbers compensation method is proposed in this paper. The signal is divided into two segments according to the position where the velocity ambiguity number changes, which is obtained by searching. To correct the RM and DFM, the second-order Keystone transform (SKT) and the fractional Fourier transform (FRFT) are combined. The initial phases of the two segments are different. Therefore, the initial range and velocity of the second segment are compensated based on the target parameters. The proposed method solves the problem of variable velocity ambiguity numbers in the coherent integration time, which improves the performance of target detection. Finally, the effectiveness of the proposed method is verified through simulation results.
KW - near space target
KW - the fractional Fourier transform (FRFT)
KW - the second-order Keystone transform (SKT)
KW - variable velocity ambiguity numbers
UR - http://www.scopus.com/inward/record.url?scp=85091899125&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP47821.2019.9172818
DO - 10.1109/ICSIDP47821.2019.9172818
M3 - Conference contribution
AN - SCOPUS:85091899125
T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Y2 - 11 December 2019 through 13 December 2019
ER -