Adaptive cancellation of nonstationary interference in HF antenna arrays

Fabrizio, G.A.; Abramovich, Y.I.; Anderson, Stuart; Gray, Douglas A.; Turley, M.D.

doi:10.1049/ip-rsn:19981779

Cited by 43 publications

(15 citation statements)

References 3 publications

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“…A description of the experimental facility and methodology used to receive ionospherically propagated amplitude modulated (AM) radio broadcasts of opportunity with the Jindalee array can be found in [7]. The experimental data for this particular study was collected on 4 April 1998 by deliberately tuning the antenna array to a cochannel AM signal or radio frequency interference (RFI) at a carrier frequency of 13.830 MHz.…”

Section: Interference Modelmentioning

confidence: 99%

Using sources of opportunity to compensate for receiver mismatch in HF arrays

Fabrizio

Gray

Turley

2001

IEEE Trans. Aerosp. Electron. Syst.

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Section: Interference Modelmentioning

confidence: 99%

Using sources of opportunity to compensate for receiver mismatch in HF arrays

Fabrizio

Gray

Turley

2001

IEEE Trans. Aerosp. Electron. Syst.

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“…Fabrizio proposes adaptive beamforming techniques in spatial domain [9,10]. Suppressing interference in time domain and frequency domain fundamentally http://asp.eurasipjournals.com/content/2014/1/159 involves estimating parameters of interference and then suppressing, with iterative algorithm widely employed, like least-mean-square filters [11,12] and orthogonal subspace projection filtering [13].…”

Section: Introductionmentioning

confidence: 99%

Wideband signal design for over-the-horizon radar in cochannel interference

Luo

Lü

Chen

et al. 2014

EURASIP J. Adv. Signal Process.

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Ship detection in heavy sea clutter is a big challenge for over-the-horizon (OTH) radar. Wideband signal is helpful for improving range resolution and the signal-to-clutter ratio. In this paper, to support OTH radar employing wideband in cochannel interference, we propose environmental sensing-based waveform (ESBW) strategy, by considering transmit waveform design as an active approach and cognitive loop for the time-varying environment. In ESBW strategy, OTH radar monitors the environment in real time, estimates interference characteristics, designs transmit waveform adaptively, and employs traditional signal processing structure to detect targets in the presence of interference. ESBW optimization problem employs the criteria of maximizing the output signal-to-interference-plus-noise ratio (SINR) of matched filter and similarity constraint for reasonable range resolution and sidelobe levels. The analytic solution to this constrained problem is developed, so that ESBW design algorithm's efficiency is guaranteed, with adjustable SINR and autocorrelation function. A simulated scenario with strong interference and colored noise has been introduced. Simulation results demonstrate that OTH radar with ESBW strategy detects the target successfully in the background of cochannel interference.

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“…The second is adaptive beamforming in the spatial domain [8][9][10][11][12][13][14][15][16]. Because RFI has apparent directivity, the beam can be nulled adaptively in the corresponding direction.…”

Section: Introductionmentioning

confidence: 99%

Radio frequency interference suppression in high frequency surface wave radar based on range–domain correlation

Pan

Zhou

Wen

2012

Journal of Electromagnetic Waves and Applications

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High frequency surface wave radar (HFSWR) is often subject to the serious impact of external radio frequency interference (RFI), which must be suppressed efficiently in order to improve the viability of the radar. In this paper, we consider two different types of RFIs. One has a strong range-domain correlation at all range cells, while the other has a strong range-domain correlation only at the adjacent range cells. According to the difference on range-domain correlation between these two types of RFIs, we propose two different suppression methods based on the range-domain adaptive filtering. One is the far range cells method which uses the signals at the far range cells as the secondary data, and the other is the adjacent range cells method which uses the signals at the adjacent range cells as the secondary data. In the practical processing, we should select the far range cells method when the RFI has a strong range-domain correlation at all range cells. Otherwise, we should select the adjacent range cells method. Processing results of real data are presented to demonstrate the effectiveness of these two methods.

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Adaptive cancellation of nonstationary interference in HF antenna arrays

Cited by 43 publications

References 3 publications

Using sources of opportunity to compensate for receiver mismatch in HF arrays

Using sources of opportunity to compensate for receiver mismatch in HF arrays

Wideband signal design for over-the-horizon radar in cochannel interference

Radio frequency interference suppression in high frequency surface wave radar based on range–domain correlation

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