Improved Passive SAR Imaging With DVB-T Transmissions

Fang, Yue; Atkinson, George; Sayin, Alp; Chen, Jie; Wang, Pengbo; Antoniou, Michail; Cherniakov, M.

doi:10.1109/tgrs.2020.2972156

Cited by 21 publications

(10 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dwell time in the processing is 20s. Considering the inter-channel interference of the receiver, direct signal is inevitably mixed in the surveillance channel, the CLEAN technique [10], [44], [45] is applied to remove the direction signal interference. Table 3 gives the satellite position and during the whole dwell time.…”

Section: B Real Scenario Experiments Resultsmentioning

confidence: 99%

“…The separation of passive Bi-SAR system transmitter and receiver yields several configuration using different types of transmitters or receivers, including spaceborne, airborne, ground-based system [1]- [3]. Many different types of available illuminators of opportunity can be utilized as the transmission, such as digital audio broadcasting(DAB) [4], Digital Video Broadcasting Terrestrial(DVB-T) [5]- [10], WiFi [11], DTV [12], [13], and Global Navigation Satellite Systems (GNSS) [14]- [21]. The advantages of passive bistatic radar include low cost, free license, silence working and environmental friendly, making it feasible in the earth remote sensing fields.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Image Formation Algorithm for Bistatic SAR Using GNSS Signal With Improved Range Resolution

et al. 2020

Self Cite

View full text Add to dashboard Cite

Passive synthetic aperture radar (SAR) using Global Navigation Satellite System (GNSS) signals as the illuminators of opportunity has a relative coarse range resolution due to the narrow bandwidth of the navigation signals and the bi-static acquisition geometry, limiting its application for high-resolution requirement. In this paper, an image formation algorithm for range resolution improvement is investigated. A modified second order differentiation based method is applied on the range compressed signal of reference channel and surveillance channel, improving range resolution and keeping side-lobes at a lower level simultaneously, and the phase of processed signal is preserved by phase multiplication compensation for the following azimuth compression processing. To validate the effectiveness and benefits of the proposed algorithm in terms of range resolution and targets side-lobes, point targets simulation under different situations and real field experiment with strong scatters are conducted and discussed. Compared with the traditional GNSS-based passive SAR imaging algorithm, the results of the proposed method show that the imaging performance can be improved for better range resolution and lower side-lobes, benefitting for better distinguishing nearby targets and recognizing weak targets.

show abstract

Section: B Real Scenario Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Image Formation Algorithm for Bistatic SAR Using GNSS Signal With Improved Range Resolution

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to show the range-Doppler maps with different geometric configuration, map results at frame-5, frame-10 and frame-15 using the transmitter signals SVN #2 and #10 are shown in Figure 8. It should be noted that the direct signal in the range-Doppler map has been removed [49,50]. To highlight the target, all maps in Figure 8 are noise-free.…”

Section: Experiments and Resultsmentioning

confidence: 99%

Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter

et al. 2020

Self Cite

View full text Add to dashboard Cite

Over the past few years, the global navigation satellite system (GNSS)-based passive radar (GBPR) has attracted more and more attention and has developed very quickly. However, the low power level of GNSS signal limits its application. To enhance the ability of moving target detection, a multi-static GBPR (MsGBPR) system is considered in this paper, and a modified iterated-corrector multi-Bernoulli (ICMB) filter is also proposed. The likelihood ratio model of the MsGBPR with range-Doppler map is first presented. Then, a signal-to-noise ratio (SNR) online estimation method is proposed, which can estimate the fluctuating and unknown map SNR effectively. After that, a modified ICMB filter and its sequential Monte Carlo (SMC) implementation are proposed, which can update all measurements from multi-transmitters in the optimum order (ascending order). Moreover, based on the proposed method, a moving target detecting framework using MsGBPR data is also presented. Finally, performance of the proposed method is demonstrated by numerical simulations and preliminary experimental results, and it is shown that the position and velocity of the moving target can be estimated accurately.

show abstract

“…Research in the field of passive radar nowadays is very intense due to their application on both civilian and military context [1][2][3][4][5] [6][7][8][9][10][11][12]. Since passive radar can work in a passive and covert mode, by exploiting the transmitters of opportunity available in the scenario of operation, it is particularly interesting for Defense applications.…”

Section: Introductionmentioning

confidence: 99%

Software Phase Correction Technique for Passive Radar

Marques

2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

View full text Add to dashboard Cite

Improved Passive SAR Imaging With DVB-T Transmissions

Cited by 21 publications

References 26 publications

An Image Formation Algorithm for Bistatic SAR Using GNSS Signal With Improved Range Resolution

An Image Formation Algorithm for Bistatic SAR Using GNSS Signal With Improved Range Resolution

Moving Target Detection in Multi-Static GNSS-Based Passive Radar Based on Multi-Bernoulli Filter

Software Phase Correction Technique for Passive Radar

Contact Info

Product

Resources

About