Ionospheric Decontamination and Sea Clutter Suppression for HF Skywave Radars

Lü, Kun; Liu, Xingzhao; Liu, Yongtan

doi:10.1109/joe.2004.839936

Cited by 33 publications

(28 citation statements)

References 16 publications

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“…So, we add 2 norm of x to formula (14). The mixed 1 − 2 norm is adopted in this paper as formula (15), where…”

Section: The Sparse Iterative Algorithm Of Ionospheric Phase Decontammentioning

confidence: 99%

“…A fast iterative algorithm is adopted to solve formula (15). The iterative procedure is given as follows:…”

Section: The Sparse Iterative Algorithm Of Ionospheric Phase Decontammentioning

confidence: 99%

“…But, the difficulty is that there is no effective method to choose the proper order of polynomial phase signal. To solve the above problems, Hankel rank reduction (HRR) algorithm [15] has been proposed based on constructing Hankel matrices and singular value decomposition (SVD) [16] technique. It has better performance while its accuracy still needs to be improved.…”

Section: Introductionmentioning

confidence: 99%

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Ionospheric decontamination based on sparse reconstruction for skywave radar

Xue

et al. 2016

EURASIP J. Adv. Signal Process.

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Ionospheric phase decontamination is the key factor to improve the target detection capability of skywave radar. In this paper, a new ionospheric phase decontamination algorithm is proposed based on sparse reconstruction. We transform the problem of estimating ionospheric contamination phase into a sparse optimization problem, then solve it rapidly by the iterative method to get the modulation frequency caused by ionospheric phase contamination. Compared with the existing algorithms, the proposed algorithm in this paper has the following advantages: 1. higher accuracy is obtained under the situation of both fast phase fluctuation and slow phase fluctuation; 2. the proposed algorithm is more robust to noise; 3. real-data processing results of the proposed algorithm are better.

show abstract

“…So, we add 2 norm of x to formula (14). The mixed 1 − 2 norm is adopted in this paper as formula (15), where…”

Section: The Sparse Iterative Algorithm Of Ionospheric Phase Decontammentioning

confidence: 99%

“…A fast iterative algorithm is adopted to solve formula (15). The iterative procedure is given as follows:…”

Section: The Sparse Iterative Algorithm Of Ionospheric Phase Decontammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ionospheric decontamination based on sparse reconstruction for skywave radar

Xue

et al. 2016

EURASIP J. Adv. Signal Process.

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show abstract

“…Intuitively, the Doppler spreads of the Bragg lines may bury the returned signal of slow moving targets. A number of methods have been studied to compensate the ionospheric phase contamination, for example, the SVD-based method in [2,5], the PPS-based method in [6], etc. In this letter, we propose a novel compensation algorithm which can more accurately compensate the ionospheric phase contamination.…”

Section: Introductionmentioning

confidence: 99%

A recursive method for compensating ionospheric phase contamination based on multistage Taylor expansion

Mao

et al. 2014

IEICE Electron. Express

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A recursive approach for the compensation of the ionospheric phase contamination is proposed based on multistage Taylor expansion and the extended Kalman filter. The proposed algorithm can dynamically compensate the ionospheric phase contamination. We show by numerical examples that the proposed algorithm outperformances the conventional methods such as the polynomial phase signal (PPS) and the singular value decomposition (SVD).

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“…Lu et al [11] proposed an improvement to HRR algorithm. In their study, they proposed to compensate the clutter using the IF shift and thus achieved a better performance in suppressing the clutter.…”

Section: Introductionmentioning

confidence: 99%

Ionospheric decontamination for skywave OTH radar based on complex energy detector

You

Wang

2012

EURASIP J. Adv. Signal Process.

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For over-the-horizon (OTH) radar, the ocean clutter is very strong. And this becomes a big challenge for the target detection. The clutter suppression is a very important procedure for the OTH radar. For the skywave OTH radar, the radar signal will propagate through the ionosphere. This will cause a contamination due to its unstable movement. Then the Bragg frequencies will be smeared and clutter spectrum will spread wider rather than a single line spectra. This smear will cause the target more difficult to be detected and even buried in clutter. Compensation is necessary to cancel the ionospheric effect. This article proposes the clutter decontamination algorithm based on the complex energy detector (CED). The energy detector (ED) is originally proposed to demodulate the real AM-FM signals. The ED is expanded to complex domain. After the expansion, there is no mutual coupling between the amplitude and frequency component for an AM-FM signal. The phase of the Bragg clutter return contaminated by the ionosphere is modeled by a frequency-modulated signal, while its magnitude is amplitude modulated. The CED algorithm is applied to track the instantaneous frequency of the contaminated return signal, which is then used for compensation. Simulation results are presented. The simulation results show that, comparing with the Hankel rank reduction algorithm, the proposed algorithm has better performance under the situation of large frequency fluctuation.

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Ionospheric Decontamination and Sea Clutter Suppression for HF Skywave Radars

Cited by 33 publications

References 16 publications

Ionospheric decontamination based on sparse reconstruction for skywave radar

Ionospheric decontamination based on sparse reconstruction for skywave radar

A recursive method for compensating ionospheric phase contamination based on multistage Taylor expansion

Ionospheric decontamination for skywave OTH radar based on complex energy detector

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