Infrared Signature of Combat Aircraft Incorporating Weight Penalty due to the Divergent Section of the Convergent-Divergent Nozzle

2021 ◽  
Author(s):  
Nidhi Baranwal ◽  
Shripad P. Mahulikar
Keyword(s):  
Combat Aircraft ◽  
Infrared Signature ◽  
Weight Penalty

scholarly journals Effect of Flight Altitude on Minimal Infrared Signature of Combat Aircraft

2020 ◽  
Vol 33 (6) ◽  
pp. 375-382
Author(s):  
Juyeong Nam ◽  
Injoong Chang ◽  
Yongwoo Lee ◽  
Jihyun Kim ◽  
Hyung Hee Cho
Keyword(s):  
Flight Altitude ◽  
Combat Aircraft ◽  
Infrared Signature

scholarly journals IR Susceptibility of Supersonic Aircraft according to Omni-directional Detection Angle

2021 ◽  
Vol 24 (6) ◽  
pp. 638-644
Author(s):  
Juyeong Nam ◽  
Injoong Chang ◽  
Kyungsu Park ◽  
Hyung Hee Cho
Keyword(s):  
Temperature Distribution ◽  
Relative Velocity ◽  
Detection Range ◽  
Aircraft Fuselage ◽  
Supersonic Aircraft ◽  
Surface Temperature Distribution ◽  
Detection Angle ◽  
Directional Detection ◽  
Combat Aircraft ◽  
Infrared Signature

Infrared guided weapons act as threats that greatly degrade the survivability of combat aircraft. Infrared weapons detect and track the target aircraft by sensing the infrared signature radiated from the aircraft fuselage. Therefore, in this study, we analyzed the infrared signature and susceptibility of supersonic aircraft according to omni-directional detection angle. Through the numerical analysis, we derived the surface temperature distribution of fuselage and omni-directional infrared signature. Then, we calculated the detection range according to detection angle in consideration of IR sensor’s parameters. Using in-house code, the lethal range was calculated by considering the relative velocity between aircraft and IR missile. As a result, the elevational susceptibility is larger than the azimuthal susceptibility, and it means that the aircraft can be attacked in wider area at the elevational situation.

EFFECT OF FLIGHT AND MOTOR OPERATING CONDITIONS ON INFRARED SIGNATURE PREDICTIONS OF ROCKET EXHAUST PLUMES

2015 ◽  
Vol 14 (1) ◽  
pp. 29-56 ◽  
Author(s):  
Robert Stowe ◽  
Sophie Ringuette ◽  
Pierre Fournier ◽  
Tracy Smithson ◽  
Rogerio Pimentel ◽  
...  
Keyword(s):  
Operating Conditions ◽  
Exhaust Plumes ◽  
Infrared Signature ◽  
Rocket Exhaust

Janus – A New Approach to Air Combat Pilot Training

2019 ◽  
Vol 2019 (4) ◽  
pp. 7-22
Author(s):  
Georges Bridel ◽  
Zdobyslaw Goraj ◽  
Lukasz Kiszkowiak ◽  
Jean-Georges Brévot ◽  
Jean-Pierre Devaux ◽  
...  
Keyword(s):  
Low Cost ◽  
Cost Effective ◽  
High Energy ◽  
Training System ◽  
Embedded Sensors ◽  
Pilot Training ◽  
New Approach ◽  
Combat Aircraft ◽  
Air Combat ◽  
The Cost

Abstract Advanced jet training still relies on old concepts and solutions that are no longer efficient when considering the current and forthcoming changes in air combat. The cost of those old solutions to develop and maintain combat pilot skills are important, adding even more constraints to the training limitations. The requirement of having a trainer aircraft able to perform also light combat aircraft operational mission is adding unnecessary complexity and cost without any real operational advantages to air combat mission training. Thanks to emerging technologies, the JANUS project will study the feasibility of a brand-new concept of agile manoeuvrable training aircraft and an integrated training system, able to provide a live, virtual and constructive environment. The JANUS concept is based on a lightweight, low-cost, high energy aircraft associated to a ground based Integrated Training System providing simulated and emulated signals, simulated and real opponents, combined with real-time feedback on pilot’s physiological characteristics: traditionally embedded sensors are replaced with emulated signals, simulated opponents are proposed to the pilot, enabling out of sight engagement. JANUS is also providing new cost effective and more realistic solutions for “Red air aircraft” missions, organised in so-called “Aggressor Squadrons”.

scholarly journals Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks

2020 ◽  
Vol 34 (04) ◽  
pp. 6623-6630
Author(s):  
Li Yang ◽  
Zhezhi He ◽  
Deliang Fan
Keyword(s):  
Embedded System ◽  
Processing Elements ◽  
Computing Platform ◽  
Model Compression ◽  
Computing Unit ◽  
Resource Limited ◽  
Adopted Model ◽  
Weight Penalty ◽  
Model Size ◽  
Weight Pruning

Deep convolutional neural network (DNN) has demonstrated phenomenal success and been widely used in many computer vision tasks. However, its enormous model size and high computing complexity prohibits its wide deployment into resource limited embedded system, such as FPGA and mGPU. As the two most widely adopted model compression techniques, weight pruning and quantization compress DNN model through introducing weight sparsity (i.e., forcing partial weights as zeros) and quantizing weights into limited bit-width values, respectively. Although there are works attempting to combine the weight pruning and quantization, we still observe disharmony between weight pruning and quantization, especially when more aggressive compression schemes (e.g., Structured pruning and low bit-width quantization) are used. In this work, taking FPGA as the test computing platform and Processing Elements (PE) as the basic parallel computing unit, we first propose a PE-wise structured pruning scheme, which introduces weight sparsification with considering of the architecture of PE. In addition, we integrate it with an optimized weight ternarization approach which quantizes weights into ternary values ({-1,0,+1}), thus converting the dominant convolution operations in DNN from multiplication-and-accumulation (MAC) to addition-only, as well as compressing the original model (from 32-bit floating point to 2-bit ternary representation) by at least 16 times. Then, we investigate and solve the coexistence issue between PE-wise Structured pruning and ternarization, through proposing a Weight Penalty Clipping (WPC) technique with self-adapting threshold. Our experiment shows that the fusion of our proposed techniques can achieve the best state-of-the-art ∼21× PE-wise structured compression rate with merely 1.74%/0.94% (top-1/top-5) accuracy degradation of ResNet-18 on ImageNet dataset.

Metamodeling of aircraft infrared signature dispersion

2010 ◽  
Vol 94 (4) ◽  
pp. 405-422 ◽  
Author(s):  
Sidonie Lefebvre ◽  
Antoine Roblin ◽  
Suzanne Varet ◽  
Gérard Durand
Keyword(s):  
Infrared Signature
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