2015
DOI: 10.1109/taes.2015.140531
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Observability analysis and enhancement of radome aberration estimation with line-of-sight angle-only measurement

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Cited by 28 publications
(19 citation statements)
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“…A maneuver algorithm, revised adaptive intermittent maneuver is introduced to enhance the estimation performance of the LOS angle in Ref. 7. Based on the theory that the radome refraction angle can be expressed by the radome slope and the missile attitude angle, the second approach is to estimate the radome slope firstly and compensate the radome refraction angle in the guidance loop.…”
Section: Introductionmentioning
confidence: 99%
“…A maneuver algorithm, revised adaptive intermittent maneuver is introduced to enhance the estimation performance of the LOS angle in Ref. 7. Based on the theory that the radome refraction angle can be expressed by the radome slope and the missile attitude angle, the second approach is to estimate the radome slope firstly and compensate the radome refraction angle in the guidance loop.…”
Section: Introductionmentioning
confidence: 99%
“…The radome is employed for homing missiles [1] to protect the seeker antenna from air flow [2] and to reduce the aerodynamic drag as well [3]. The electromagnetic wave is not refracted by the radome when the shape of the radome is a perfect hemisphere [4]. However, for the reason that the aerodynamic drag force is excessively large in endo-atmospheric engagements, the radome is shaped to be non-hemispheric to reduce the drag [5] at the cost of inducing refraction of the electromagnetic wave [6].…”
Section: Introductionmentioning
confidence: 99%
“…A nonlinear filtering algorithm is proposed to decouple the radome error from the nominal missile states [2], in which a two-step estimator is implemented with measurements of the azimuth and elevation angles. State estimation algorithms with LOS angle measurements have been studied in various studies [4,12,27], in which the radome slope is estimated from the information generated by dither and extracted by bandpass filtering [28]. At the same time, the nonlinear filtering techniques [29] have practical limitations, including sensitivity to initial value, slow convergence and performance degradation in the presence of model parameter mismatch [6].…”
Section: Introductionmentioning
confidence: 99%
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