Research Article
Coherent Integration Algorithm for Weak Maneuvering Target Detection in Passive Radar Using Digital TV Signals
@INPROCEEDINGS{10.1007/978-3-319-73447-7_25, author={Ying Zhou and Weijie Xia and Jianjiang Zhou and Linlin Huang and Minling Huang}, title={Coherent Integration Algorithm for Weak Maneuvering Target Detection in Passive Radar Using Digital TV Signals}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Weak maneuvering target detection Passive radar Generalized Radon-Fourier Transform (GRFT) Wind Driven Optimization (WDO)}, doi={10.1007/978-3-319-73447-7_25} }- Ying Zhou
Weijie Xia
Jianjiang Zhou
Linlin Huang
Minling Huang
Year: 2018
Coherent Integration Algorithm for Weak Maneuvering Target Detection in Passive Radar Using Digital TV Signals
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_25
Abstract
This paper considers the coherent integration problem of detecting weak maneuvering targets in passive radar using digital television terrestrial broadcasting (DTTB) signals. By dividing the continuous DTTB echoes into multiple segments, the generalized Radon-Fourier transform (GRFT) which was proposed to realize coherent integration of maneuvering targets for pulse Doppler radar can be utilized in DTTB-based passive radar. The GRFT can obtain ideal coherent integration gain but suffers a heavy computational burden. In this paper, a fast implementation algorithm of GRFT using the modified wind driven optimization (MWDO) is proposed. Compared with the existing particle swarm optimization (PSO) method, the proposed method can achieve better detection performance with a similar computational cost in DTTB-based passive radar. Several numerical experiments are also provided to demonstrate the effectiveness of the proposed method.