Infrared signature characteristic of a microturbine engine exhaust plume

Gu, Bonchan; Baek, Seung Wook; Jegal, Hyunwook; Choi, Seong Man; Kim, Won Cheol

doi:10.1016/j.infrared.2017.08.014

Cited by 21 publications

(2 citation statements)

References 15 publications

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“…However, the study on the radiation signature difference of stealth aircraft over various spectrum ranges is minimal. Many studies have focused on several specific broad-spectrums, such as 1.8~2.4μm, 2.5~3.57μm, 4~4.76μm, etc., covering two aircraft plume peak spectra along with the skin reflection radiation spectra that has high atmospheric transmittance (Willers, C. J. et al 2014;Pan, X. et al 2015;Mahulikar, S. P. et al 2015;Wang, Y. et al 2016;Gu, B. et al 2017;. The results show that the above spectra can make significant contributions to aircraft detection.…”

Section: Introductionmentioning

confidence: 86%

Detection spectrum optimization of stealth aircraft targets from a space-based infrared platform

et al. 2022

Opt Quant Electron

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Advances in infrared detection techniques require novel spectrum dynamicmodification strategies capable of sensing unprecedentedly low target radiant intensities. A conventional fixed-spectrum detection system cannot satisfy the effective detection of stealth aircraft targets due to complex Earth background clutter and atmospheric attenuation. Therefore, a detection method that can highlight aircraft targets is urgently needed to enhance stealth aircraft detectability. In this research, a spectrum set consisting of different bandwidths associated with a central wavelength is established. Furthermore, a signal-to-noise ratio of the stealth aircraft is computed using the established spectrum set. Finally, the optimal spectrum is selected according to the maximal signal-to-noise ratio from the spectrum set. Our numerical experiments and simulations further demonstrate that the proposed methodology can substantially strengthen the detection performance of stealth aircraft compared with traditional fixed-spectrum detection systems. This work on detection spectrum optimization paves the way to stealth aircraft detection and opens new vistas in the field of target detection technology.

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Section: Introductionmentioning

confidence: 86%

Detection spectrum optimization of stealth aircraft targets from a space-based infrared platform

et al. 2022

Opt Quant Electron

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“…Shuai et al (2005) used backward Monte Carlo (MC) method for IR signature estimation of a plume with particles, it was shown that backward MC is better than forward MC in terms of computational time. Gu et al (2017) investigated the infrared signature of the exhaust plume of a microturbine engine using circular and rectangular nozzles. IR signature was measured along the tail direction at three locations.…”

Section: Introductionmentioning

confidence: 99%

Analysis of aero engine plume potential core infrared signature

Bhatt,

Mahulikar

2024

AEAT

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Purpose Aero-engine exhaust plume length can be more than the aircraft length, making it easier to detect and track by infrared seeker. Aim of this study is to analyze the effect of free stream Mach number (M∞) on length of potential core of plume. Also, change in infrared (IR) signature of plume and aircraft surface with variation in elevation angle (θ) is examined. Design/methodology/approach Convergent divergent (CD) nozzle is located outside the rear fuselage of the aircraft. A two dimensional axisymmetric computational fluid dynamics (CFD) study was carried out to study effect of M∞ on potential core. The CFD data with aircraft and plume was then used for IR signature analysis. The sensor position is changed with respect to aircraft from directly bottom towards frontal section of aircraft. The IR signature is studied in mid wave IR (MWIR) and long wave IR (LWIR) band. Findings The potential plume core length and width increases as M∞ increases. At higher altitudes, the potential core length increases for a fixed M∞. The plume emits radiation in the MWIR band, whereas the aerodynamically heated aircraft surface emits IR in the LWIR band. The IR signature in the MWIR band continuously decreases as the sensor position changes from directly bottom towards frontal. In the LWIR band the IR signature initially decreases as the sensor moves from the directly bottom to the frontal, as the sensor begins to see the wing leading edges and nose cone, the IR signature in the LWIR band slightly increases. Originality/value The novelty of this study comes from the data reported on the effect of free stream Mach number on the potential plume core and variation of the overall IR signature of aircraft with change in elevation angle from directly below towards frontal section of aircraft.

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