Aodi Yang , Haihong Tao , Le Wang , Fusen Yang , Xiaoyu Xu , Huihui Ma
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引用次数: 0
Abstract
High-speed moving targets (HSMTs) pose challenges for passive bistatic array radar (PBAR). When HSMTs deviate from the transmit-receive beam’s irradiation region, PBAR cannot effectively receive echo energy over an extended priod, failing to balance coherent accumulation time and goniometric accuracy. A solution is to use a satellite’s wide beam and multiple adjacent narrow receiving beams from a ground-based silent array radar. However, during long-time accumulation, HSMTs’ radial and tangential velocities cause range migration (RM), pitch beam migration (PBM), azimuth beam migration (ABM), and Doppler frequency migration (DFM). These scatter HSMT echo energy, degrading Long-Time Coherent Integration (LTCI) performance. This paper proposes a simultaneous multi-beam space-time-Doppler (STD) algorithm. First, it employs a joint beam migration correction mechanism combining phase correction and cancellation to focus multi-beam energy on the beam unit at the HSMT’s terminal moment, then utilizes the Frequency Domain Dechirp Fourier Transform (FDDFT) to handle RM and DFM, and tunes the echo Doppler and modulation frequencies to the same domain to complete coherent integration, and finally achieves detection and localization of HSMTs via the multi-beam joint centroid angle measurement. Simulations verify the superiority of the proposed STD algorithm in high-speed target detection and coherent integration.
期刊介绍:
Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work, tutorial and review articles, and accounts of practical developments. It is intended for a rapid dissemination of knowledge and experience to engineers and scientists working in the research, development or practical application of signal processing.
Subject areas covered by the journal include: Signal Theory; Stochastic Processes; Detection and Estimation; Spectral Analysis; Filtering; Signal Processing Systems; Software Developments; Image Processing; Pattern Recognition; Optical Signal Processing; Digital Signal Processing; Multi-dimensional Signal Processing; Communication Signal Processing; Biomedical Signal Processing; Geophysical and Astrophysical Signal Processing; Earth Resources Signal Processing; Acoustic and Vibration Signal Processing; Data Processing; Remote Sensing; Signal Processing Technology; Radar Signal Processing; Sonar Signal Processing; Industrial Applications; New Applications.