Adaptive processing in High Frequency Surface Wave Radar

Saleh, Oliver; Adve, Raviraj; Riddolls, R.J.; Ravan, Maryam; Plataniotis, Konstantinos N.

doi:10.1109/radar.2008.4720881

Cited by 3 publications

(4 citation statements)

References 28 publications

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“…FFA is an algorithm for dimensionality reduction in the array‐pulse domain, which takes advantage of all the degrees of freedom of the system but reduces the computational complexity and the required number of samples. In recent years, FFA‐FAST fully adaptive algorithm has a good performance in sea clutter suppression [23]. Figure 11a,c are shown as the suppressed sea clutter spectrum for the third group data by KB + JDL and FFA algorithm.…”

Section: Experimental Data Validationmentioning

confidence: 99%

“…With the ionospheric phase disturbance increases, the improve factor is gradually decline. The improvement factor is still stable in 12 dB by phase gradient algorithm (PGA, PGA is the traditional sea clutter decontamination method [20][21][22][23]) and JDL, which is higher than the single JDL algorithm.…”

Section: Influence Of Different Ionospheric Phase Disturbance On Jdl ...mentioning

confidence: 99%

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Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

Wang

et al. 2023

IET Radar Sonar & Navi

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In high frequency (HF) hybrid sky-surface wave radar, the first-order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles. In this study, a spread sea clutter suppression method based on prior knowledge and joint domain localised (JDL) algorithm is proposed. Firstly, the first-order sea clutter broadening mechanisms and model under the action of ionospheric phase disturbance and bistatic angles are introduced. Secondly, the space-time coupling characteristics of the first-order sea clutter is analysed. Then in order to better suppress clutter or avoid target information loss, the spread sea clutter suppression method based on space time adaptive processing is proposed. In the proposed method, the space-time distribution characteristics and simulation model of the first-order sea clutter is used as the prior knowledge into JDL algorithm to improve the sea clutter suppression performance. Finally, the performance of sea clutter suppression based on JDL algorithm is simulated and analysed. And the proposed spread sea clutter suppression method based on prior knowledge and JDL algorithm is proved by measured data.

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Section: Experimental Data Validationmentioning

confidence: 99%

Section: Influence Of Different Ionospheric Phase Disturbance On Jdl ...mentioning

confidence: 99%

Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

Wang

et al. 2023

IET Radar Sonar & Navi

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“…Substitute formula (10) into (14) and calculate the correlation function of the phase deviation. The result is shown as follows:…”

Section: The Analysis Of Radio Wave's Propagationmentioning

confidence: 99%

“…Space-time adaptive processing (STAP) is a kind of low complexity and effective way for using training samples to suppress clutter, having become an important direction of research scholars from various countries and has been used in airborne radar [9][10][11][12][13][14][15]. Similar to ground clutter, there are certain orientation-Doppler frequency characteristics in high-frequency surface wave radar ionospheric clutter; so, using STAP to suppress ionospheric clutter becomes possible.…”

Section: The Ionospheric Es Layer Clutter Suppression Based the Jdl Amentioning

confidence: 99%

An Ionospheric Es Layer Clutter Model and Suppression in HF Surfacewave Radar

Yan

et al. 2013

International Journal of Antennas and Propagation

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This paper based on a fast implemented multiphase screen method using DFT puts forward an ionospheric Es layer clutter model and uses the newly developed dimensionality reduction space-time adaptive processing- (STAP-) JDL algorithm to suppress Es layer clutter, which proves the validity of the proposed model. Firstly, the multiphase screen method was analyzed, and a fast algorithm using DFT was proposed. Then, based on the multiphase screen method and thorough simulation, we reached a conclusion of the high-frequency radio wave propagation’s fluctuation characteristics in the ionosphere. According to the results of the analysis, a new Es layer ionospheric clutter model was established and was compared with the measured data and verification was made. Finally, based on the built clutter model, JDL algorithm was applied to the high-frequency surface wave radar ionospheric clutter suppression, using the measured data to verify the validity of the model and algorithm. The simulation results showed that the built model can show the characteristics of the ionospheric Es layer clutter and that the JDL algorithm can suppress ionospheric Es layer clutter quite effectively.

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Hybrid inhibition algorithm for ionospheric clutter mitigation in high frequency surface wave radar

Yin

2018

2018 26th International Conference on Systems Engineering (ICSEng)

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Adaptive processing in High Frequency Surface Wave Radar

Cited by 3 publications

References 28 publications

Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

An Ionospheric Es Layer Clutter Model and Suppression in HF Surfacewave Radar

Hybrid inhibition algorithm for ionospheric clutter mitigation in high frequency surface wave radar

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