Sub-optimal signal processing in marine forward scatter radar

Behar, V.; Kabakchiev, Christo; Garvanov, Ivan; Kabakchieva, Dorina; Daniel, Liam; Gashinova, Marina; Cherniakov, M.

doi:10.1049/cp.2012.1571

Cited by 3 publications

(9 citation statements)

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“…3. Different aspects and subsystems of the presented flow chart have been investigated and reported by the authors [9][10][11][12][13][14][15][16][17][18].…”

Section: Signal Processing In Maritime Forward Scatter Maritime Radarmentioning

confidence: 99%

“…The error of rough estimation was about 20%. The sub-optimal estimates of the target velocity and length are obtained with two multi-channel estimators (using the main lobe of the target pattern in [12] and using the entire target pattern in [14]), which sufficiently improve the accuracy of estimation. The accuracy of the sub-optimal estimates equals the size of the selected intervals of the measured parameters divided by the number of channels.…”

Section: Signal Processing In Maritime Forward Scatter Maritime Radarmentioning

confidence: 99%

“…A number of the papers published by the authors were dedicated to target speed and length estimation [9][10][11][12][13][14][15][16][17][18]. In [11], the rough approach for calculation of the velocity and length of marine targets in an FSR, based on FSR constant false alarm rate (CFAR) detector and estimator, was preliminarily considered in order to evaluate the signal dwell time.…”

Section: Introductionmentioning

confidence: 99%

“…In the real experiment, the accuracy of the target velocity and length estimation was 3-5% at a low sea state 1-2% by using this approach. In [14], another possible sub-optimal algorithm for signal processing has been analysed, which can be used in FSR systems for detection and velocity and target length estimation of maritime targets. The algorithm is based on a matched filtering approach that operates in the current sliding window where the filter parameters are previously estimated if the target signal is present in the current window.…”

Section: Introductionmentioning

confidence: 99%

“…The error of estimation of the velocity and length of the target was about 15–20%. Further algorithm improvement has been proposed in [12, 14], where the target parameter estimation was carried out after target detection. The centre of the dwell time was taken where the signal envelope is maximum.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Experimental verification of maritime target parameter evaluation in forward scatter maritime radar

Kabakchiev¹,

Behar

Garvanov

et al. 2015

IET Radar, Sonar & Navigation

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Maritime security is related to national economic and political interests and is strategically important. One efficient way to accomplish maritime border protection is to use the netted forward scatter radar (FSR). FSR is a special type of bistatic radar that operates in a relatively narrow scattering area along the transmitter-receiver baseline, where the effect of the electromagnetic waves forward scattering on targets is dominant above other scattering mechanisms, and in this case, a forward scatter (FS) cross section may increase by orders of magnitude in comparison with the monostatic radar cross section (RCS). Considered in this study are the major problems of marine forward scattering radar detection and estimation of length of low-profile (small and slow) marine targets using a pre-processing approach. It is based on the assumption that the variation of the phase and amplitude in the Doppler signal signature is stronger inside the FS zone than in an outside region. Two variants of preprocessing algorithms are presented in the study, one for the envelope and the other for the phase. Both variants are based on the use the local variance filtering. The results obtained prove the sufficient improvement in a signal-to-clutter ratio (SCR). Estimation of the marine target length under the low SCR is designed using the assumption of known or previously estimated velocity. Presented results demonstrate high accuracy of length estimation. Considered steps of targets detection and target attributes evaluations are necessary for maritime targets classification. The designed algorithms are verified using a set of experimental records of signals from different marine targets obtained using marine FSR developed by the teams from

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“…3. Different aspects and subsystems of the presented flow chart have been investigated and reported by the authors [9][10][11][12][13][14][15][16][17][18].…”

Section: Signal Processing In Maritime Forward Scatter Maritime Radarmentioning

confidence: 99%

Section: Signal Processing In Maritime Forward Scatter Maritime Radarmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Experimental verification of maritime target parameter evaluation in forward scatter maritime radar

Kabakchiev¹,

Behar

Garvanov

et al. 2015

IET Radar, Sonar & Navigation

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show abstract

Detection, parametric imaging and classification of very small marine targets emerged in heavy sea clutter utilizing GPS-based Forward Scattering Radar

Kabakchiev

Behar

Garvanov³

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Joint CFAR detection and parameter estimation of different marine targets using Forward Scatter Radar

Kabakchiev

Behar

et al. 2015

2015 16th International Radar Symposium (IRS)

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In this paper we research one joint structure of the CFAR detector and a parameter estimation of the moving different marine targets at the background of a sea clutter using Bistatic Forward Scatter Radar (FSR) system. In our investigates we use the two pulse MTI CFAR processor with K/M-L batch processor and parameter estimator for a marine target with unknown size are investigated on the base of real data records. The aim of the paper is to make statistical estimation of various target parameters [6][7][8][9]. These specific parameters necessary for Data Mining Classification have been obtained in the time and the frequency domains for different marine targets.The data itself have been gathered by the team of the Birmingham University using in-house developed FSR.

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Sub-optimal signal processing in marine forward scatter radar

Cited by 3 publications

References 0 publications

Experimental verification of maritime target parameter evaluation in forward scatter maritime radar

Experimental verification of maritime target parameter evaluation in forward scatter maritime radar

Detection, parametric imaging and classification of very small marine targets emerged in heavy sea clutter utilizing GPS-based Forward Scattering Radar

Joint CFAR detection and parameter estimation of different marine targets using Forward Scatter Radar

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