Passive radar detection with DVB-T signals

Yin, Ying; Zhang, Shunsheng; Wu, Fuxia; Zong, Zhi‐Min; Zhang, Wei

doi:10.1109/radar.2016.8059601

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Such radar systems have drawn a lot of attention all over the world because of the evident advantages with respect to the active radars, such as low cost, flexible configuration, reduced electromagnetic pollution, counter-stealth and no electro-magnetic emission [2][3][4]. Since the performance of the passive radar based on the analogue signal is highly dependent on the signal and the digital signal modulated by the coded Orthogonal Frequency Division Multiplexing (OFDM) has better spectral characteristics [5], the passive radars mainly use the digital radio and television signals and digital video broadcasting ground (DVB-T) signals [6,7]. In digital IOs, DVB-T signal has the advantage of large bandwidth, which makes it an attractive ambiguity function [8].…”

Section: Introductionmentioning

confidence: 99%

Novel approach for shipborne‐passive bistatic imaging with DVB‐T signals based on MIAA–RID technique

Wang

Yang

Yeh³

et al. 2022

IET Radar Sonar & Navi

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The shipborne‐passive bistatic inverse synthetic aperture radar system with digital video broadcasting terrestrial (DVB‐T) signals is very important in the fields of radar imaging, but it suffers from the problems of grating lobes caused by the spectral gaps when multiple DVB‐T channels are applied, and the non‐stationary echo signal for the complex motions of the ship. In this paper, a new algorithm based on the Missing Data Iterative Adaptive Approach (MIAA) combined with the Range Instantaneous Doppler (RID) technique is proposed to address these problems. First, the authors establish the imaging geometry and signal model. Based on these models, the range resolution and Doppler frequency are analysed. Then, the bandwidth synthesis in the frequency domain for the DVB‐T signal is derived. Finally, the MIAA method is used to recover the spectral gaps of the range profile for multiple DVB‐T channels, and the azimuth compression is carried out by the RID method after the translational motion compensation. Simulation results show the effectiveness of the algorithm proposed in this paper.

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Section: Introductionmentioning

confidence: 99%

Novel approach for shipborne‐passive bistatic imaging with DVB‐T signals based on MIAA–RID technique

Wang

Yang

Yeh³

et al. 2022

IET Radar Sonar & Navi

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Guan Gui . complicated electromagnetic environments [1]- [3]. Direction of arrival (DOA) estimation is one of technologies in the moving target detection.…”

Section: Introductionmentioning

confidence: 99%

DOA Robust Estimation of Echo Signals Based on Deep Learning Networks With Multiple Type Illuminators of Opportunity

Liu

et al. 2020

IEEE Access

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Traditional DOA estimation algorithms have poor adaptability to antenna errors. To enhance the direction of arrival (DOA) estimation performance for moving target echo signals in the environment of multiple type illuminators of opportunity, a DOA estimation framework leveraging deep learning networks (DLN) is proposed. In the proposed framework, the DLN is divided into two main components, including linear classification networks (LCN) and convolutional neural networks (CCN). The LCN is utilized to identify the spatial subregion of received signals and divide the signals from each subregion into corresponding output modules. Then, the output of the LCN after matrix transformations will be input into multiple parallel CNNs, where DOA estimations are carried out. Extensive simulation studies are conducted, demonstrating that our proposed method has excellent estimation performance and strong universality with high estimation accuracy even under large antenna defects. INDEX TERMS Convolutional neural networks, deep learning networks, direction of arrival estimation, illuminator of opportunity, linear classification networks.

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Covert Detection of Air Targets with a Passive Radar System Using External Signals from Broadcast TV Stations of the DVB-T2 Standard

Chirov

Chertova

2023

2023 25th International Conference on Digital Signal Processing and Its Applications (DSPA)

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Passive radar detection with DVB-T signals

Cited by 5 publications

References 8 publications

Novel approach for shipborne‐passive bistatic imaging with DVB‐T signals based on MIAA–RID technique

Novel approach for shipborne‐passive bistatic imaging with DVB‐T signals based on MIAA–RID technique

DOA Robust Estimation of Echo Signals Based on Deep Learning Networks With Multiple Type Illuminators of Opportunity

Covert Detection of Air Targets with a Passive Radar System Using External Signals from Broadcast TV Stations of the DVB-T2 Standard

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