Signal Processing for Passive Radar Using OFDM Waveforms

Berger, Christian; Demissie, Bruno; Heckenbach, Jörg; Willett, Peter; Zhou, Shengli

doi:10.1109/jstsp.2009.2038977

Cited by 341 publications

(221 citation statements)

References 26 publications

Supporting

Mentioning

218

Contrasting

Unclassified

Order By: Relevance

“…In [18], a new interpretation of such an approach was stated in term of channel-based detector (CHAD). Note that a similar interpretation can be found in [19] for the particular case of DAB signals. It was demonstrated that, thanks to the orthogonality between the subcarriers, CHAD has, in general, less clutter leakages than using matched filters.…”

Section: Introductionsupporting

confidence: 72%

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

Chabriel

Barrère

2017

IEEE Trans. Signal Process.

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionsupporting

confidence: 72%

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

Chabriel

Barrère

2017

IEEE Trans. Signal Process.

View full text Add to dashboard Cite

show abstract

“…Therefore, in our problem, we propose cyclostationarity-based whitening to enhance the target signal. The only requirement is that the fundamental period has been estimated, which is reasonable for weak signal extraction [23]. The method to estimate the Doppler in low SNR is out of the scope of this paper, for details one can see [24].…”

Section: Cyclostationarity Based-whiteningmentioning

confidence: 99%

Improved Blind Source Extraction for Time Delay Estimate in Passive Coherent Location System

Zhang

Wang²,

Li³

et al. 2012

PIER B

View full text Add to dashboard Cite

Abstract-Target localization is one challenge in passive coherent location (PCL) radar system, and the time delay is the most important parameter in the location. The difficulty of time delay estimate (TDE) in PCL system is that the target signal is completely buried in direct path signal, multipath and clutter (DMC). The conventional clutter cancellation algorithms in matched filter (MF) are time consuming. In this paper, we propose a time delay estimate method based on blind source extraction (BSE) which directly extract the target signal from the mixed signals, thus a new passive coherent location system is built. In this model, the reference antenna is not needed any more. For low signal to interference plus noise ratio (SINR) and frequency overlapped signals in passive coherent location, we introduce the cyclostationarity to enhance the target signal. The experiments on FM broadcast signals show that the computational burden of the proposed algorithm is extremely small and the improved SNR satisfies the location requirements of PCL system.

show abstract

“…Due to its capabilities of low-cost operation and covert surveillance, PBR has attracted considerable and increasing interests in recent years. Because the sidelobes of the ambiguity function of PBR usually have a time-varying structure and exist at a level not greatly lower than that of the peak [2,3,4,5], this can lead to: 1) The direct signal interference (DSI), which is received by the sidelobe of the surveillance antenna and significantly stronger than the clutter echo, masks target echo signals, 2) The strong clutter echoes masks target echo signals. In particular, when sea-surface targets are detected, the spread Doppler spectrum of sea clutter makes the task of detecting low-velocity targets a very challenging problem [6,7].…”

Section: Introductionmentioning

confidence: 99%

Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar

Shan

Tao

et al. 2014

IEICE Electron. Express

View full text Add to dashboard Cite

Sea clutter suppression is critical in the detection of low-velocity targets using a passive bistatic radar. The residual sea clutter may become high when the normalized least-mean-square (NLMS) algorithm with a small step size is used for this purpose. While a large step size can be used to reduce the residual sea clutter, it yields a widened filter notch, and thereby, causes significant target signal energy loss. A multi-channel NLMS algorithm is proposed to solve this problem, and its effectiveness is verified by simulation and real radar data analysis.

show abstract

Signal Processing for Passive Radar Using OFDM Waveforms

Cited by 341 publications

References 26 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

Improved Blind Source Extraction for Time Delay Estimate in Passive Coherent Location System

Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar

Contact Info

Product

Resources

About