Abstract

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 pre-processing 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 University of Birmingham, UK and Sofia University, Bulgaria.

Highlights

  • Protection of homeland territory, offshore assets and exclusive economic zone as well as the related national economic and political interests are strategically important areas of maritime security

  • forward scatter radar (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)

  • 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 University of Birmingham, UK and Sofia University, Bulgaria

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Summary

Introduction

Protection of homeland territory, offshore assets and exclusive economic zone as well as the related national economic and political interests are strategically important areas of maritime security. Electro-optical systems, including airborne examples, provide imaging liable for confident identification but are essentially weather dependent It seems unlikely, that any single system could be developed to solve all the problems of sea monitoring with a resolution sufficient to permit the detection and automatic identification of small objects. This research in the maritime domain is essentially the continuation of the netted FSR study for low-profile ground target detection and parameter estimation, originally discussed in [3, 4]. Two major problems of FSR will be the focus of this paper: detection of low-profile maritime targets and rough estimation of their parameters, that is, target speed and length. 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.

Data collection and experimental setup
Signal processing in maritime forward scatter maritime radar
Clutter rejection algorithms
Local variance filtering algorithm
Experimental results
Experimental results – low SCR
Algorithm description
Conclusion

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