&lt;title&gt;Radio frequency interference removal in a VHF/UHF deramp SAR&lt;/title&gt;

Golden, August; Werness, Susan A.; Stuff, Mark; DeGraaf, S.; Sullivan, Richard

doi:10.1117/12.210866

Cited by 7 publications

(6 citation statements)

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“…However, for wideband interference, correlation times may be comparable to the pulse repetition interval. Also, some pure tone estimation algorithms are iterative [2,4,5] and many tens of tones or more may require subtraction. A least mean square (LMS) algorithm estimates incoming interference for subtraction [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Sparse frequency transmit-and-receive waveform design

Lindenfeld

2004

IEEE Trans. Aerosp. Electron. Syst.

113

105

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A computationally efficient algorithm derives complex digital transmit and receive ultra-wideband radar and communication waveforms with excellent arbitrary frequency band suppression and range sidelobe minimization. The transmit waveform minimizes a scalar function penalizing weighted spectral energy in arbitrary frequency bands. Near constant power results from another penalty function for deviations from constant power, or constant power is enforced by a phase-only formulation. Next, a least squares solution for the receive waveform minimizes a weighted sum of suppressed band spectral energy and range sidelobes (for pulse and continuous wave operation), with a mainlobe response constraint. Both waveforms are calculated by iterative algorithms whose updates require only linear order in memory and computation, permitting quick calculation of long pulses with thousands of samples.

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Section: Introductionmentioning

confidence: 99%

“…For narrowband interference, frequency, amplitude, and phase of multiple pure tones are estimated and subtracted [2][3][4][5][6]. Receive-only processing during every other pulse may be used to estimate noise to subtract on the succeeding pulse when the transmitter is operating [6], although the pulse repetition frequency (PRF) is reduced.…”

Section: Introductionmentioning

confidence: 99%

Sparse frequency transmit-and-receive waveform design

Lindenfeld

2004

IEEE Trans. Aerosp. Electron. Syst.

113

105

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“…At each iteration u, using subspace tracker obtains the estimated eigenvalue l u which belongs to C S in (4). The judgement scheme is presented in Table 3.…”

Section: Rank Tracking Part Of Efapi Algorithmmentioning

confidence: 99%

“…Now that RFI degrades SAR imaging quality seriously, it remains a hot research topic in RFI suppression and several filtering algorithms are described in the literature [1 -15]. Early methods are mainly based on coherent estimation and subtraction of interfering signals [2][3][4][5] or notch-filtering of the interferences in the range spectral domain [6 -8]. The former method sets model of RFI signals as a sum of sinusoids then estimates the parameters of the model, such as frequencies, amplitudes and phases by the maximum likelihood criteria etc.…”

Section: Introductionmentioning

confidence: 99%

Radiofrequency interference suppression in synthetic aperture radar based on singular spectrum analysis with extended – FAPI subspace tracking

Wang

Xiang-yang

et al. 2012

IET Radar Sonar Navig.

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To obtain sufficient resolution, the operating band of synthetic aperture radar (SAR) must extend over several tens of megahertz. Consequently, SAR reception occurs across frequency bands allocated for other broadcasting stations and SAR often suffers radio frequency interference (RFI). This study proposes a novel approach to suppress RFI in SAR. The authors combine the classical spectral analysis method singular spectrum analysis, with an efficient subspace tracking method fast approximated power iteration (FAPI) which has the most economical computational cost among state-of-the-art algorithms. Furthermore, they supply a gap of FAPI so that it can achieve rank tracking based on eigenvalues distribution of the covariance matrix of the observed SAR record and in that way can detect the number of RFIs along the SAR azimuth time. The proposed algorithm is a time domain processing method and performs on SAR range records one-by-one. Finally, well-focused SAR imagery is obtained from the 'decontaminated' SAR data using classical SAR imaging algorithms. The proposed algorithm could be applied in complicated interference circumstances no matter the styles of RFI. Imaging results of artificial and real data have proved the validity and robustness of this algorithm.

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“…Radio Frequency Interference (RFI) is the major interference source for low frequency band synthetic aperture radar (SAR) systems, and how to detect and suppress RFI effectively is an important research direction in data processing of low frequency band SAR [1][2][3][4][5][6][7][8]. The existing narrow-band RFI suppression methods mainly include parameter methods and non-parameter methods.…”

Section: Introduction Introduction Introduction Introductionmentioning

confidence: 99%

RFI suppression in SAR based on clutter estimation

Wang

Sun

Wang³

et al. 2013

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS

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Radio Frequency Interference (RFI) can deteriorate imaging quality of low frequency band synthetic aperture radar (SAR). For SAR using Linear Frequency Modulation (LFM) signals, this paper proposes an RFI suppression method based on clutter estimation in range frequency domain. This method uses eigen-decomposition to complete RFI detection and gets the maximum likelihood estimation (MLE) of clutter intensity for imaging scene. After determining spectrum intervals of RFI signals by the judging method of threshold, our method uses wiener filter to filter the RFI signals in the range frequency domain. The processing results of L-band SAR data verify the effectiveness of our method.

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<title>Radio frequency interference removal in a VHF/UHF deramp SAR</title>

Cited by 7 publications

References 0 publications

Sparse frequency transmit-and-receive waveform design

Sparse frequency transmit-and-receive waveform design

Radiofrequency interference suppression in synthetic aperture radar based on singular spectrum analysis with extended – FAPI subspace tracking

RFI suppression in SAR based on clutter estimation

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