Analysis of sea spikes in NetRad clutter

Palamà, Riccardo; Greco, Maria; Stinco, Pietro; Gini, Fulvio

doi:10.1109/eurad.2014.6991219

Cited by 7 publications

(6 citation statements)

References 5 publications

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“…9 c . This extends to the Doppler domain the conclusion highlighted in the previous section regarding amplitude statistics, and appears to be in line with previous results with other NetRAD data [5, 6, 33]. The characterisation of micro‐Doppler signatures of sea clutter, the effect of the sea surface micro‐motions as a function of the sea state, and the use of this knowledge for detection of maritime targets, especially those presenting low observability, was also investigated in [38, 39].…”

Section: Discussionsupporting

confidence: 93%

“…Previous analysis of other NetRAD data in [4, 7, 32] have commented on the fact that the sea clutter statistics appear less spiky in bistatic data compared with simultaneous monostatic data. This was also confirmed with the recent results presented in [33, 34], where simultaneous monostatic and bistatic NetRAD data were compared analysing the spikiness through the characterisation of the shape parameter of the K + noise distribution and other distributions. The analysis of these data allows to comment further on trends comparing simultaneous monostatic versus co‐polarised and cross‐polarised bistatic for a larger variety of bistatic angles.…”

Section: Discussionsupporting

confidence: 88%

“…exo-clutter), the K distribution was used as it was observed that in the former case the effect of the noise was practically negligible when fitting the data, and in the latter case a K distribution with high shape parameter, i.e. a previous results with other NetRAD data [5,6,33]. The characterization of micro-Doppler signatures of sea clutter, the effect of the sea surface micro-motions as a function of the sea state, and the use of this knowledge for detection of maritime targets, especially those presenting low observability, was also investigated in [38,39].…”

Section: Analysis Of Doppler Statisticsmentioning

confidence: 99%

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Analysis of polarimetric bistatic sea clutter using the NetRAD radar system

Fioranelli

Ritchie

Griffiths

et al. 2016

IET Radar, Sonar & Navigation

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This paper presents a comparative analysis of amplitude and Doppler spectra statistics from monostatic and bistatic sea clutter data at S-band. These data cover a range of bistatic angles from 60° to 120° and include simultaneous monostatic and co-polarized and cross-polarized bistatic recordings, providing direct comparison of their statistical properties. The time series of amplitude data are fitted to the compound K and K+Noise distribution in the range domain and in the Doppler domain, and the variation of the shape parameter is presented for monostatic and co-polarized and cross-polarized bistatic data as an indication of the spikiness of the clutter. From the analysis of this parameter it is shown that cross-polarized bistatic data tend to be less spiky in the range and Doppler domain than the simultaneous co-polarized bistatic data, and than the simultaneous monostatic data, which could be advantageous in terms of radar detection performance, especially for low-visibility maritime targets.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 88%

Section: Analysis Of Doppler Statisticsmentioning

confidence: 99%

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Analysis of polarimetric bistatic sea clutter using the NetRAD radar system

Fioranelli

Ritchie

Griffiths

et al. 2016

IET Radar, Sonar & Navigation

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“…33 shows that the exponential distribution is a reasonable model for the spike width. The results in [66], [103] show that the mean spike width is higher for the lower bistatic angles with longer spikes present in the bistatic VV data and most of the HH data. The mean interval between spikes is also generally higher for the bistatic data.…”

Section: Sea Spikesmentioning

confidence: 93%

Modeling the Statistics of Microwave Radar Sea Clutter

Rosenberg

Watts

Greco

2019

IEEE Aerosp. Electron. Syst. Mag.

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One of the key requirements of a radar system is to detect targets against the background interference. This can be a challenging problem in the maritime domain when the sea moves in a complex manner and the characteristics are time-varying or non-stationary. Understanding the characteristics of sea clutter is therefore essential in developing effective and robust detection schemes. The first part of this tutorial provides details of the relevant statistical models from the literature which are typically used to characterise the sea clutter. Using these models enables us to represent clutter in different environments that may be difficult to observe in trials and to predict the performance of radars over a range of different conditions with more confidence. Future radar systems may well comprise transmitters and receivers which are separated by some distance. Analysis of bistatic sea clutter is therefore covered in the second part of this paper with a focus on how the statistics vary with different bistatic angles. The paper then looks at the application of radar models for clutter simulation and performance prediction for both coherent and non-coherent detection schemes.

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“…It is likely that the characteristics of individual spikes may also vary with bistatic angle. This was investigated in [71,72] and it was noted that for the data analysed there was no strong correlation between spike events in the monostatic and bistatic data.…”

Section: Sea Spikesmentioning

confidence: 99%

Challenges in radar sea clutter modelling

Watts

Rosenberg

2022

IET Radar Sonar & Navi

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The ability to detect small targets in sea clutter is still an ongoing challenge, even for modern radar systems. Over the past decade, the development of new radar waveforms and signal processing algorithms has been assisted by an increasingly good understanding of the characteristics of sea clutter. Nevertheless, many challenges remain in the development of robust sea clutter models that span the wide range of sea conditions and viewing geometries encountered in practice. This paper describes the current challenges with some suggestions on how they can be overcome.

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Analysis of sea spikes in NetRad clutter

Cited by 7 publications

References 5 publications

Analysis of polarimetric bistatic sea clutter using the NetRAD radar system

Analysis of polarimetric bistatic sea clutter using the NetRAD radar system

Modeling the Statistics of Microwave Radar Sea Clutter

Challenges in radar sea clutter modelling

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