Evaluation of the ambiguity function for passive radar with OFDM transmissions

Searle, Stephen J.; Palmer, J.; Davis, Linda M.; O’Hagan, Daniel; Ummenhofer, Martin

doi:10.1109/radar.2014.6875747

Cited by 49 publications

(35 citation statements)

References 6 publications

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“…However, for DVB-T, methods for providing this signal can vary. The optimal method is to decode the direct signal [23], and then locally re-construct it, resulting in a noise-free reference signal while supressing signal artefacts which may affect the DVB-T SAR imagery, such as DVB-T pilot signals, which in passive coherent location applications can otherwise introduce false detections. In airborne DVB-T SAR work so far, two different methods for providing range compression have been used.…”

Section: Image Formationmentioning

confidence: 99%

Passive SAR satellite (PASSAT) system: airborne demonstrator and first results

Atkinson

Sayin

Stove

et al. 2019

IET Radar, Sonar & Navigation

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This paper presents the development and execution of an airborne experimental campaign as part of the continuing investigation of a passive Synthetic Aperture Radar using digital television broadcasting stations as illuminators of opportunity, and micro-/nano-satellite receivers in Low Earth Orbit. For the flight experiments, a hardware demonstrator was developed that utilised two receiving antennas, allowing both cross-correlation and auto-correlation range compression schemes, and was mounted to an airborne platform to image stationary rural areas up to 50 km from the transmitter. This paper presents the first image results of these experiments as well as initial analysis of image formation aspects including, range compression scheme and effects on the image quality of the signal to noise on the reference channel.

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Section: Image Formationmentioning

confidence: 99%

Passive SAR satellite (PASSAT) system: airborne demonstrator and first results

Atkinson

Sayin

Stove

et al. 2019

IET Radar, Sonar & Navigation

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“…When the underlying signal is OFDM, the orthogonality of the carriers may be exploited in order to improve the delay-Doppler floor [10,11]. A summary of the method presented in [11] follows.…”

Section: Ambiguity Processingmentioning

confidence: 99%

“…The reference signal is now reconstructed, this time mismatching the symbol amplitudes in the manner of [11]. Circular correlation is used in place of linear correlation.…”

Section: Simulated Examplementioning

confidence: 99%

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Signal processing considerations for passive radar with a single receiver

Searle

Davis

Palmer

2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Processing of passive radar signals is hindered by the presence of clutter and sensor noise in the reference signal, and by strong direct and zero-Doppler clutter returns in the surveillance signal. Previous research has addressed methods of removing or mitigating unwanted components in either signal. However what is considered as interference in one signal may be considered as information in the other. In this study we investigate under what conditions both surveillance and reference information may be extracted from a single signal, thus enabling passive radar processing with a single receiver.

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“…Finally and importantly, the computational load remains reasonably low when compared to those of classical STAP approaches. For OFDM-based emissions, it has been proposed in [15], [16] to replace the battery of matched filters by "mismatched" filters (also called reciprocal filters). The idea is that reciprocal filter outputs being theoretically "signalindependent", presence of ghost targets (false alarms) caused by the DVB-T signal structure (cyclic prefix, transmission parameter signalling, pilot data, see [17]) is naturally eliminated.…”

Section: Introductionmentioning

confidence: 99%

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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Evaluation of the ambiguity function for passive radar with OFDM transmissions

Cited by 49 publications

References 6 publications

Passive SAR satellite (PASSAT) system: airborne demonstrator and first results

Passive SAR satellite (PASSAT) system: airborne demonstrator and first results

Signal processing considerations for passive radar with a single receiver

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

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