Azimuth dependence of Doppler spectra of sea clutter at low grazing angle

Lamont-Smith, T.

doi:10.1049/iet-rsn:20070099

Cited by 16 publications

(11 citation statements)

References 9 publications

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“…Such modulations of the spectrum form were also observed in [12] and were considered to result due to local gusting of the wind. Spikier clutter was also observed in water tank experiments in [6] for waves travelling towards the radar as opposed to waves travelling away from it. The explanation for this observation is that the waves break predominantly in the wind direction.…”

Section: Doppler [Hz]mentioning

confidence: 81%

STAP performance of sea clutter suppression in dependency of the grazing angle and swell direction for high resolution bandwidth

Gracheva

Cerutti-Maori

2012

IET International Conference on Radar Systems (Radar 2012)

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Section: Doppler [Hz]mentioning

confidence: 81%

STAP performance of sea clutter suppression in dependency of the grazing angle and swell direction for high resolution bandwidth

Gracheva

Cerutti-Maori

2012

IET International Conference on Radar Systems (Radar 2012)

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“…However, this is suitable only when D ≥ 3 (also called Hanning-3). Here, the sum of square (SoS) of row of i to A would can be obtained as (9).…”

Section: Hanning-weighted Window Function (Hwwf) Assisted Stft Formentioning

confidence: 99%

“…In addition, it is highly intricate to train network over varying sea conditions. Recently, authors [9] exploited time-frequency analysis to perform low speed small target detection. Radon transform based approaches have been applied to perform small target detection [10].…”

Section: Introductionmentioning

confidence: 99%

Hanning Weighted Window Analysis Assisted Time-Series Analysis Model for Slow Moving Target Detection in Sea Clutter

Rajesh¹,

Udayarani²,

Jayaramaiah³

2020

International Journal of Engineering Research and Technology

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The exponential rise in maritime movement, security threats from up-surging terrorism and smuggling has alarmed academia-industries to develop more efficient method for target detection in coastal area. This task becomes more complex and intricate in case of small moving target in seaclutter. Amongst the major available approaches such as multiple-radar based methods, wavelet analysis methods, Doppler measurements, Fourier transforms, Short Term Fourier Transform (STFT) based techniques, STFT has been found more robust. The ability to perform simultaneous time and frequency analysis for time-series assessment enables STFT to be used in small target detection in sea clutter; however the inherent limitations such as improper Windowing, window-size, number of samples, overlapping conditions affect overall performance. Considering it as motivation, in this paper we have developed an efficient Hanning Weighted Window Function (HWWF) model to be used in conjunction with STFT to perform Hanning-Weighted Overlapped Time-Series Analysis (HWOTSA) to detect slow moving target detection in sea clutter. The use of orthonormal transformation also called rotation enabled Hanning Window Analysis to use suitable STFT parameters and statistical test across the windows to achieve better accuracy of the target detection. HWOTSA assisted STFT in conjunction with the Probability Distribution Function Projection (PPM) over extracted features enabled accurate slow moving target detection in sea clutter. The MATLAB based simulation affirmed that the proposed method enables accurate and swift (slow) moving target detection in sea clutter, without introducing higher computational overheads and complexities. The estimation of Doppler measurement based target velocity estimation armour proposed method to be used in real-time applications for swift decision making.

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“…In the literature, the mean Doppler spectrum is often characterised by a single Gaussian component with an offset and spread [1], but a single component with Gaussian statistics is unable to reproduce the observed temporal and spatial variations in the Doppler spectrum. This variability affects the edges of the spectrum most, and is typically asymmetric, with one side of the spectrum having greater variability than the other [2, 3]. Watts [4] showed how a single component with compound K distributed statistics and a correlation between Doppler shift and intensity can model this asymmetric variability.…”

Section: Introductionmentioning

confidence: 99%

Compound G2 model of coherent radar sea clutter

Bocquet

2019

IET Radar, Sonar & Navigation

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Azimuth dependence of Doppler spectra of sea clutter at low grazing angle

Cited by 16 publications

References 9 publications

STAP performance of sea clutter suppression in dependency of the grazing angle and swell direction for high resolution bandwidth

STAP performance of sea clutter suppression in dependency of the grazing angle and swell direction for high resolution bandwidth

Hanning Weighted Window Analysis Assisted Time-Series Analysis Model for Slow Moving Target Detection in Sea Clutter

Compound G2 model of coherent radar sea clutter

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