Passive Covert Radars using CP-OFDM signals. A new efficient method to extract targets echoes

Chabriel, Gilles; Barrère, Jean; Gassier, Ghislain; Briolle, Francoise

doi:10.1109/radar.2014.7060382

Cited by 14 publications

(32 citation statements)

References 9 publications

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“…Fig. 5 corresponds to target returns from CAF implementing the ZDC rejection frequency method proposed in [13]. As expected, one can see that fully ZDC rejection is not reached and quite important secondary lobes remain along the Doppler axis in particular for low bistatic ranges.…”

Section: A Dataset #1 (Helicopter -4-elements Ula)supporting

confidence: 53%

“…The LCMV formulation of our problem is then to find the optimal coefficients (w opt mr )m2I M r2I R minimizing (12) with respect to the R linear temporal steering constraints (13). The necessary knowledge of the gains g f r is here relaxed; they will be determined later during the LS filtering process.…”

Section: ) Lcmv Adaptive Beamformermentioning

confidence: 99%

“…Now, replacing the expression (16) of w in the linear system of constraints (13), g H f = w H C f , we get the Lagrange multiplier vector:…”

Section: ) Lcmv Adaptive Beamformermentioning

confidence: 99%

“…6) is obtained using space-time CHAD implementing the embedded ZDC rejection method proposed in [13]. The range values (from 15km to 19km, i.e.…”

Section: A Dataset #1 (Helicopter -4-elements Ula)mentioning

confidence: 99%

“…One can find e.g. in [10], [11], [12], [13], different methods for such a ZDC rejection. It can however be highlighted that these preprocessings are in general sensitive to antenna impairments such as mechanical vibrations or RF front-end impairments such as carrier frequency offset (CFO) or sample frequency offset (SFO).…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

Chabriel

Barrère

2017

IEEE Trans. Signal Process.

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Abstract-Recently, it has been studied the benefit of using a channel-based detector (CHAD) with a passive radar exploiting OFDM waveforms radiated e.g. by DVB-T transmitters of opportunity. When multiple antennas are available on receive, we state that CHAD can be seen as space-time array-processing performing on a particular coherent frequency datacube. Building on this new interpretation, we propose an improved version of CHAD in the form of a fully dimensional space-time adaptive processing. Optimization of the signal-to-interference-plus-noise ratio is obtained combining a linearly constrained minimum variance (LCMV) space-time adaptive beamforming and a least squares (LS) spatial adaptive filtering. Unlike classical STAP approaches, no training data are here used and only one space-time sample matrix inversion is required. The computational load is then highly reduced allowing a practical deployment. Moreover, since no beamscan in space is performed, the knowledge of array characteristics is not required and the performance shall not be impacted by any calibration errors. Finally, the full set of target signal returns being collected in a single range-Doppler surveillance map, the detection process is then simplified. Results on experimental data show the interests of this new surveillance scheme: no need for a prior rejection of the dominant interference, systematic reduction of secondary lobes, discrimination of slow moving targets.

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Section: A Dataset #1 (Helicopter -4-elements Ula)supporting

confidence: 53%

Section: ) Lcmv Adaptive Beamformermentioning

confidence: 99%

“…Now, replacing the expression (16) of w in the linear system of constraints (13), g H f = w H C f , we get the Lagrange multiplier vector:…”

Section: ) Lcmv Adaptive Beamformermentioning

confidence: 99%

“…6) is obtained using space-time CHAD implementing the embedded ZDC rejection method proposed in [13]. The range values (from 15km to 19km, i.e.…”

Section: A Dataset #1 (Helicopter -4-elements Ula)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

Chabriel

Barrère

2017

IEEE Trans. Signal Process.

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On the feasibility of DVB-T based passive radar with a single receiver channel

Mahfoudia

Horlin

Neyt

2017

International Conference on Radar Systems (Radar 2017)

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The DVB-T signals are an attractive source of illumination for the passive radars due to their wide bandwidth and signal structure. The DVB-T standard permits the reconstruction of the received reference signal to enhance its signal-to-noise ratio (SNR). The signal reconstruction possibility allows the use of a simplified configuration of the radar by employing a single receiver. In this paper, we propose an optimized processing scheme for the single receiver DVB-T passive radar. We carry out Monte-Carlo simulations to assess the performances of the single receiver configuration, and we present real-data results to validate the proposed scheme.

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Pilot‐based detection for DVB‐T passive coherent location radars

Mahfoudia

Horlin²,

Neyt

2020

IET Radar, Sonar & Navigation

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This study investigates the feasibility of pilot-based detection for passive coherent location (PCL) radars exploiting digital video broadcasting-terrestrial (DVB-T) signals. The DVB-T signal is formed by two parts: a data signal and a pilot signal. The parameters of the pilot signal are known thanks to the DVB-T standards that permit the generation (at the receiver) of the pilot signal. The pilot recovery technique, based on the known DVB-T standard, is utilised in DVB-T based PCL systems to reduce the number of the reception channels by considering a locally generated pilot signal as a reference signal. Consequently, no reference channel is required, which reduces the cost and the complexity of the resulting PCL system. In this work, the authors propose a signal processing method to achieve this goal. They consider theoretical analysis, simulations and real-data results to validate the feasibility of such a system.

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Passive Covert Radars using CP-OFDM signals. A new efficient method to extract targets echoes

Cited by 14 publications

References 9 publications

Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

Adaptive Target Detection Techniques for OFDM-Based Passive Radar Exploiting Spatial Diversity

On the feasibility of DVB-T based passive radar with a single receiver channel

Pilot‐based detection for DVB‐T passive coherent location radars

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