Measurement, processing and modeling of a tropical foliage clutter using Forward Scatter Radar micro-sensor network with VHF and UHF bands

Ismail, Noor Hafiza; Rashid, Nur Emileen Abdul; Khan, Zuhani Ismail; Rashid, Mohammed

doi:10.1109/icramet.2015.7380778

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…This leads to a decrease in classification performance. The reader is prompted at [18], [20] for more technical information on the subject matters.…”

Section: Errors Due To the Presence Of Clutters In Fsr Systemmentioning

confidence: 99%

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

et al. 2022

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Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target's profile behaviour and the network's surrounding; and one of the factors that cause the reduction of classification probability is the presence of ground clutter. As the volume of clutter increases, their masking effect becomes greater and may result in more significant errors in target classification. Hence, to reduce misclassification in the FSR sensor network, a new clutter reduction technique based on the ground clutter model is proposed. Simulated ground clutter is modeled based on the estimated signal to clutter ratio (SCR) of the received signal. The clutter effect is diminished by eliminating simulated like-clutter from the receiving signals. The result shows improvement in the classification accuracy, especially for the minimum value of the SCR and this new technique uses only one database which will shorten the processing time and reduce the overall database's size.

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“…This leads to a decrease in classification performance. The reader is prompted at [18], [20] for more technical information on the subject matters.…”

Section: Errors Due To the Presence Of Clutters In Fsr Systemmentioning

confidence: 99%

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

et al. 2022

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“…Especially, since cognitive radar technology gradually became a research hotspot in the field, the demand for real-time perception and fine characterization of radar clutter environment has become more and more urgent. The refined characterization of radar clutter is represented by its corresponding optimal selection of radar clutter model, which has a profound impact on cognitive waveform design [19], constant false alarm rate (CFAR) detection [20], multi-target tracking [21], and target recognition under clutter background [22]. Different from the previous environmental attribute classification based on clutter features, clutter model for real radar data does not have an objective label in hand.…”

Section: Introductionmentioning

confidence: 99%

A General Evaluation System for Optimal Selection Performance of Radar Clutter Model

Yang

Zhang

Yang

et al. 2023

J. of Syst. Eng. Electron.

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The optimal selection of radar clutter model is the premise of target detection, tracking, recognition, and cognitive waveform design in clutter background. Clutter characterization models are usually derived by mathematical simplification or empirical data fitting. However, the lack of standard model labels is a challenge in the optimal selection process. To solve this problem, a general three-level evaluation system for the model selection performance is proposed, including model selection accuracy index based on simulation data, fit goodness indexs based on the optimally selected model, and evaluation index based on the supporting performance to its third-party. The three-level evaluation system can more comprehensively and accurately describe the selection performance of the radar clutter model in different ways, and can be popularized and applied to the evaluation of other similar characterization model selection.

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“…This method has been used in previous researches to model the clutter signal for different types of clutter signal with different values of operating frequency [8][9][10][11]. This paper is the continuous work to model the clutter signal for the statistical analysis that has been done in Terengganu seaside measured using FSR with 434 MHz as presented in [12].…”

mentioning

confidence: 99%

Empirical model for terengganu forward scatter radar seaside clutter with UHF band

Ismail

Rashid²,

Khan³

et al. 2018

J. Fundam and Appl Sci.

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An empirical model for Terengganu seaside clutter measured using forward scatter radar (FSR) with operating frequency of 434 MHz is presented in this paper based on the analysed characteristics. Statistical distribution approach is used in this analysis to model the si clutter-like signal. To validate the accurateness between the measured and simulated clutter signal, the envelope clutter signal and the number of fit shape factor for both signals are being compared, while root mean square error (RMSE) technique i error between the measured and simulated clutter signal.

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Measurement, processing and modeling of a tropical foliage clutter using Forward Scatter Radar micro-sensor network with VHF and UHF bands

Cited by 3 publications

References 23 publications

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

A General Evaluation System for Optimal Selection Performance of Radar Clutter Model

Empirical model for terengganu forward scatter radar seaside clutter with UHF band

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