Zuhan Cheng , Jun Wang , Te Zhao , Jinxin Sui , Ziqian Huang , Hui Ma , Luo Zuo
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引用次数: 0
Abstract
This paper explores the GNSS satellite system as illumination in passive radar for maneuvering target detection. The main difficulty of this technology is the limited arrival power from navigation satellites. To address this, a long-time integration algorithm for multi-weak targets detection is proposed. It begins with the segmented signal model to obtain the range-compressed data, followed by the second-keystone transform to correct the intra-frame quadratic range migration. Then, a multi-target motion parameter estimation method based on the modified variational Bayesian framework is employed on the azimuth signal. Lastly, a proper compensation strategy is applied to align the targets’ positions in all integrated maps. It estimates the multiple targets’ motion measurements from the bistatic range-Doppler maps accurately, and compensates for the complicated range and Doppler migrations to improve the detection capability. This technique is validated through theoretical analysis with simulations, as well as experiments. Both simulated and real-measured data experiments prove the remarkable multi-weak targets detection and measurement performance than the existing methods.
期刊介绍:
Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal.
The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as:
• big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,