Unbiased Estimation of Atmosphere Attenuation Coefficient

Dikić, Goran; Djurović, Željko

doi:10.1007/s00202-006-0004-8

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…The second method commonly used in the visible range is based on an assessment of optical visibility, but it can not be used for thermal windows. Moreover, the problem of uncertainty of this parameter can be solved by introducing the novel algorithms, such as unbiased estimation coupled with the extended Kalman filter, suggested in [14].…”

Section: Methods Based On Contrast Measurementmentioning

confidence: 99%

A Comparative Analysis of Three Monocular Passive Ranging Methods on Real Infrared Sequences

Bondžulić¹,

Mitrović²,

Barbaric³

et al. 2013

Journal of Electrical Engineering

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Three monocular passive ranging methods are analyzed and tested on the real infrared sequences. The first method exploits scale changes of an object in successive frames, while other two use Beer-Lambert's Law. Ranging methods are evaluated by comparing with simultaneously obtained reference data at the test site. Research is addressed on scenarios where multiple sensor views or active measurements are not possible. The results show that these methods for range estimation can provide the fidelity required for object tracking. Maximum values of relative distance estimation errors in near-ideal conditions are less than 8%.

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Section: Methods Based On Contrast Measurementmentioning

confidence: 99%

A Comparative Analysis of Three Monocular Passive Ranging Methods on Real Infrared Sequences

Bondžulić¹,

Mitrović²,

Barbaric³

et al. 2013

Journal of Electrical Engineering

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“…The value of the extinction coefficient a σ follows the changes of atmospheric state, and should be estimated during the tracking process. Here, the following simple recursive procedure for extinction coefficient estimation can be used [5] ( )…”

Section: Extinction Coefficient Estimatementioning

confidence: 99%

Target Tracking with Two Passive Infrared Sensors Augmented with Irradiance Ratio

Wang¹,

Hu²

2013

AMM

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In target tracking using the passive infrared sensors, the principle of triangulation distance measurement is normally used as the basic method. However, when the target directions are nearly collinear relative to the baseline, this method merely based on EKF and angle measurements produces poor results. To solve this problem, we propose a target tracking solution based on dual infrared sensors in the cluttered environment. This method is a joint estimation algorithm of target motion state and atmospheric parameter such as the extinction coefficient. The method combines the probability data association algorithm with the augmented extended Kalman filter algorithm, into which we introduce the rate of infrared energy absorbed by the sensors at the ends of the baseline as additional measurement vector. Simulation results show that the proposed method performs better than the standard extended Kalman filter method, even in the case that the targets position is near the baseline in the cluttered environment.

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“…The approximation (27) is obtained by neglecting the second terms in the appropriate expression (23), since these terms are significantly smaller than the first terms which apply when an actual target is present. It is evident from the above that instead of the matrix H 1 in (14), the new measurement matrix should be defined as:…”

Section: Ranging System Based On Augmented Measurement Vector and Extmentioning

confidence: 99%

“…Algorithm 1 utilizes azimuths and elevations, and Algorithm 2 takes into account all input variables. Extinction coefficient σ a (block f) is estimated according to [14]. Algorithms 1 and 2, and fuzzy logic controller (FLC) work in parallel.…”

Section: Hybrid Algorithm Descriptionmentioning

confidence: 99%

Hybrid Approach to Passive Ranging with Two Infrared Non-Imaging Sensors

Mitrović

Dikić

Đurović

2011

International Conference on Aerospace Sciences and Aviation Tec

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In this paper the principle of triangulation is used as a basic method for range estimation. However, when the target directions are nearly collinear relative to the baseline the ratio of IR energy absorbed at the end of a baseline has to be introduced in a measurement vector to obtain acceptable results. In that case, a recursive estimator for the extinction coefficient that describes the influence of the atmosphere also must be applied. Both methods are implemented within the extended Kalman filter type target state estimator. The results obtained by simulations and experimental data processing show the advantages but also the disadvantages caused by saturation effect when the target is close enough to one of the sensors. The appropriate hybrid approach in application of algorithms, triangulation and proposed method with extended measurement vector, is suggested as a solution.

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Unbiased Estimation of Atmosphere Attenuation Coefficient

Cited by 4 publications

References 5 publications

A Comparative Analysis of Three Monocular Passive Ranging Methods on Real Infrared Sequences

A Comparative Analysis of Three Monocular Passive Ranging Methods on Real Infrared Sequences

Target Tracking with Two Passive Infrared Sensors Augmented with Irradiance Ratio

Hybrid Approach to Passive Ranging with Two Infrared Non-Imaging Sensors

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