Detection of very close targets by fusion CFAR detectors

Ivković, Dejan; Andrić, Milenko; Zrnic, B.

doi:10.5937/str1603050i

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…Analyses presented above suggest usage of an adaptive CFAR algorithm such as [26] or fusion CFAR algorithm [27]. CFAR used here is based on approach present in [27] and represents a slight modification of well know Cell Averaging Greatest Of CFAR (CAGO -CFAR). The only difference lies in the fact that threshold level depends not only on averaged signal level, but also on assumed distribution function presented above.…”

Section: Cfar Algorithmmentioning

confidence: 99%

The high frequency surface wave radar solution for vessel tracking beyond the horizon

Nikolic¹,

Stojkovic²,

Petrović³

et al. 2020

FACTA U EE

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With maximum range of about 200 nautical miles (approx. 370 km) High Frequency Surface Wave Radars (HFSWR) provide unique capability for vessel detection far beyond the horizon without utilization of any moving platforms. Such uniqueness requires design principles unlike those usually used in microwave radar. In this paper the key concepts of HFSWR based on Frequency Modulated Continuous (FMCW) principles are presented. The paper further describes operating principles with focus on signal processing techniques used to extract desired data. The signal processing describes range and Doppler processing but focus is given to the Digital Beamforming (DBF) and Constant False Alarm Rate (CFAR) models. In order to better present the design process, data obtained from the HFSWR sites operating in the Gulf of Guinea are used.

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Section: Cfar Algorithmmentioning

confidence: 99%

The high frequency surface wave radar solution for vessel tracking beyond the horizon

Nikolic¹,

Stojkovic²,

Petrović³

et al. 2020

FACTA U EE

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“…In order to increase accuracy of tracks (track position and velocity) we proposed the Interacting Multiple Model [7]. If any new tracks are found, the initial parameter estimates for these tracks are extracted from the curves corresponding to the points detected in the normalized set of measurements [8,9].…”

Section: List Of Acronymsmentioning

confidence: 99%

“…The radiation diagram is square cosecant with a beam width of azimuth 2.1° and elevation of 9.2°. The gain of the antenna is 28 dB, and the height of the ground is 13 m [9,10].…”

Section: Software Defined Radarmentioning

confidence: 99%

An approach of track managements system in software defined radar

Radosavljević¹,

Ivković²

2018

Sci Tech Rev

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Each multi target tracking system must have a track management procedure. It is an integral part of tracking systems and often used together with data association, state estimation and other parts of systems. On the other hand, the family of C-band frequency agile, low to medium altitude pulse Doppler air search radars, are designed to detect low-altitude, low cross-section aircraft targets in conditions of clutter and electronic countermeasures. Within the framework of its modernization, the receiver is conceived on the basis of software defined radar. The implementation of target tracking system within software defined radar, is also suggested. The paper describes the procedure of track management system procedure in the framework of multi target tracking system. It includes complete procedure of initialization, maintenance and deletion of tracks. Part of the numerical experiments is given at the end of the paper, in order to describe a good property functional of the TMS system

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“…It must use the adaptive threshold detector, which has a feature that automatically adjusts its sensitivity according to a variety of interference power. Thus, it maintains a constant probability of the false alarm [2,3].…”

Section: Introductionmentioning

confidence: 99%

An approach of constant false alarm ratio for improved target tracking

Radosavljević¹,

Ivković²

2020

Sci Tech Rev

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Each radar has the function of surveillance of certain areas of interest. In particular, the radar also has the function of tracking moving targets in that territory with some probability of detection, which depends on the type of detector. Constant false alarm ratio (CFAR) is a very commonly used detector. Changing the probability of target detection can directly affect the quality of tracking the moving targets. The paper presents the theoretical basis of the influence of CFAR detectors on the quality of tracking, as well as an approach to the selection of CFAR detectors, CATM CFAR, which enables better monitoring by the Interacting Multiple Model (IMM) algorithm with two motion models. Comparative analysis of CA and CATM algorithm realized by numerical simulations has shown that CATM CFAR gives less tracking error with proportionally the same computer resources.

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Detection of very close targets by fusion CFAR detectors

Cited by 16 publications

References 4 publications

The high frequency surface wave radar solution for vessel tracking beyond the horizon

The high frequency surface wave radar solution for vessel tracking beyond the horizon

An approach of track managements system in software defined radar

An approach of constant false alarm ratio for improved target tracking

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