Bimodal clutter MTI filter for staggered PRF radars

Tuszynski, Michal; Wojtkiewicz, A.; Klembowski, W.

doi:10.1109/radar.1990.201158

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…Finally, we conducted a comprehensive simulation and analysis, utilizing 40 received pulses and employing the aforementioned radar system and motion target parameters. TPC [20], SPC [22], and VAC [13] are mature clutter suppression algorithms widely used in radar signal processing. FastICA [47], PSA [32], and NPSA [48] are classical BSS algorithms.…”

Section: Simulation Experimentsmentioning

confidence: 99%

“…Classical single−channel clutter suppression techniques include moving target indication (MTI) [18] and moving target detection (MTD) [19], both based on the principle that the Doppler frequency shift of the echo signal varies with the target's speed. These methods, including three-pulse canceller (TPC) [20,21], staggered pulse canceller (SPC) [20,22], and adaptive MTI methods [23], exploit the Doppler frequency shift characteristics of fixed clutter and moving target echo signals to extract and separate moving targets from stationary ground clutter and slow−moving clutter. Consequently, the removal of intense clutter and the extraction of target information are achieved [24].…”

Section: Introductionmentioning

confidence: 99%

“…TPC [20] is a classic clutter suppression technique that enhances radar target detection by canceling static clutter using the amplitudes of three consecutive pulses. SPC [22] is another common clutter suppression technique that improves radar sensitivity to moving targets by phase-shifting adjacent pulses to cancel static clutter. Vector averaging canceller (VAC) [13] is a clutter suppression method that utilizes statistical averaging to mitigate static clutter and highlight moving target signals in radar data.…”

Section: Introductionmentioning

confidence: 99%

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An Advanced Scheme for Radar Clutter Suppression Scheme Based on Blind Source Separation

Wang,

Liu,

Wang

2024

Remote Sensing

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In cluttered electromagnetic environments, radar is often disturbed by varied clutter, making target detection challenging. Therefore, achieving effective clutter suppression is crucial for radar target detection. However, traditional clutter suppression methods face three key challenges: (1) significant degradation in target signal detection performance when the clutter’s Doppler spectrum completely masks the target signal; (2) heavy reliance on prior knowledge for optimal performance; and (3) inherent signal energy loss during clutter suppression. To address these challenges, we propose a clutter suppression scheme based on blind source separation (BSS). Initially, the scheme utilizes parallel principal skewness analysis (PPSA) to process the echo signals in the range domain, which helps in identifying the position of moving targets. Subsequently, PPSA is applied once more to process the moving targets in the Doppler domain, allowing for the precise determination of their relative velocities. Subsequently, we evaluate the scheme’s performance with simulated and real data, comparing it with traditional clutter suppression methods and other BSS techniques. The results confirm the effectiveness of the scheme in clutter suppression.

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Section: Simulation Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Advanced Scheme for Radar Clutter Suppression Scheme Based on Blind Source Separation

Wang,

Liu,

Wang

2024

Remote Sensing

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“…The effect of the Filter DC clutter suppression filter mentioned in the first section is not good for the meteorological clutter with a constant velocity and a wide variation of the clutter spectrum, because the notch width of the filter cannot be adjusted according to the actual clutter spectral width [3]. In order to suppress meteorological clutter, this section proposes a noise suppression method based on noise subspace.…”

Section: Motion Clutter Suppressionmentioning

confidence: 99%

Research on Clutter Suppression for Low-altitude Slow and Small Target Detection

Xue¹,

Shan²,

Feng³

2017

dtcse

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In order to solve the problem that current clutter suppression methods are not suitable for the clutter suppression in low-altitude slow and small target detection, the method of Filter DC (Direct Current) was proposed in the paper. This method can effectively suppress the clutter by forming a narrower notch filter, while protecting the low-altitude slow and small targets from being affected. In this method, the improvement in Signal-to-Clutter-Noise ratio (SCNR) in different clutter environments was simulated, which proved the superiority of the filter. In this paper, a clutter suppression method was proposed based on noise subspace for motion clutter. Compared with the feature vector method, this method has less influence on the noise of different Doppler channels, and it is more suitable for the detection of low-altitude slow and small targets. Finally, the feasibility and effectiveness of the algorithms were proved by real unmanned aerial vehicle data.

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“…In the practical detection environment, the radar echoes contain not only the target information of interest but also intermingled with a lot of interference information, which is collectively referred to as clutter [1]. Mountains on the ground, buildings, and clutter in the air can generate clutter in the echoes.…”

Section: Introductionmentioning

confidence: 99%

Research on Radar Clutter Suppression Method Based on Stagger MTI

Liu,

Li,

Guo

et al. 2023

J. Phys.: Conf. Ser.

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A large number of clutter interference signals were involved in radar echoes. Radar detection and tracking performance degrade when the signal-to-noise ratio of the echo signal is too low. Therefore, how to suppress clutter interference is a problem that is worth studying in designing. In this paper, the statistical characteristics of radar clutter were analyzed, and a clutter suppression method based on staggered MTI was proposed for the blind speed problem of traditional MTI filters. Simulation experiments verified the model and processing method of staggered filtering. The results indicated that the method improved the blind speed while effectively suppressing the clutter.

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Bimodal clutter MTI filter for staggered PRF radars

Cited by 7 publications

References 2 publications

An Advanced Scheme for Radar Clutter Suppression Scheme Based on Blind Source Separation

An Advanced Scheme for Radar Clutter Suppression Scheme Based on Blind Source Separation

Research on Clutter Suppression for Low-altitude Slow and Small Target Detection

Research on Radar Clutter Suppression Method Based on Stagger MTI

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