TY - GEN
T1 - Research on Advanced Detection Method of Target Spectrum of Radar Altimeter Based on VGG16-Net
AU - Xu, Shiqi
AU - Qi, Huaiyuan
AU - Zhang, Yi
AU - Tang, Chengkai
AU - Feng, Liji
AU - Yang, Qiong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Radar altimeter is an indispensable airborne electronic equipment in many aircraft. It has been widely used in various military and civilian equipment. The radar altimeter based on FM continuous wave constant beat frequency system has the advantages of strong anti-interference and no distance blind area, and has a good application prospect. However, since the radar altimeter's target is the ground, and the ground is a complex surface target, the echo information reflected from the ground is very rich, and it is difficult to accurately extract the height information. Therefore, to solve the above problems, this paper applies convolutional neural network to the spectrum frontier detection of altimeter radar, and proposes a spectrum frontier detection algorithm based on VGG16-Net.
AB - Radar altimeter is an indispensable airborne electronic equipment in many aircraft. It has been widely used in various military and civilian equipment. The radar altimeter based on FM continuous wave constant beat frequency system has the advantages of strong anti-interference and no distance blind area, and has a good application prospect. However, since the radar altimeter's target is the ground, and the ground is a complex surface target, the echo information reflected from the ground is very rich, and it is difficult to accurately extract the height information. Therefore, to solve the above problems, this paper applies convolutional neural network to the spectrum frontier detection of altimeter radar, and proposes a spectrum frontier detection algorithm based on VGG16-Net.
KW - Convolutional neural network
KW - Frequency modulated continuous wave
KW - VGG16
UR - http://www.scopus.com/inward/record.url?scp=85184852309&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC59353.2023.10400304
DO - 10.1109/ICSPCC59353.2023.10400304
M3 - 会议稿件
AN - SCOPUS:85184852309
T3 - Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
BT - Proceedings of 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2023
Y2 - 14 November 2023 through 17 November 2023
ER -