A Novel Method to Develop High Fidelity Laser Sensor Simulation Model for Evaluation of Air to Ground Weapon Algorithms of Combat Aircraft
Successful release of any air to ground weapon from a combat aircraft is determined based on the positional parameters received from the sensors and the mission cues. Laser designated pod is one of the most sought weapon sensor, which gives the accurate data for Air to Ground weapon aiming. Laser designated pod being hardware intensive system, works with real world environment, it increases the development and integration effort towards finalising the weapon aiming algorithms and also pilot vehicle interface requirements. A novel method using mathematical models and the atmospheric error models is proposed to develop a high fidelity laser designated pod simulation model for functional and performance evaluation of weapon algorithms. The factors affecting the weapon trajectory computations are also considered in the sensor model outputs. The sensor model is integrated in the high fidelity flight simulator, which consists of both aircraft and Real world systems either as actual or simulated for close loop pilot evaluation. The behaviour of the sensor model is cross validated and fine-tuned with the actual sensor output and confirmed that the developed laser designated pod sensor simulation model meets all the requirement to test the air to ground weapons in the flight simulator.
Wang, Chunguang; Jingfeng, He; Li, guixian & Han, Junwei. An automated test system for flight simulator fidelity evaluation. J. Comput., 2009, 4(11), 1083-1090.
kaushal, Hemani & kaddoum, georges. Applications of lasers for tactical military operations. IEEE Access, 2017, 5, 20736 - 20753. doi: https://doi.org/10.1109/ACCESS.2017.2755678
Sabatini, Roberto. & Mark, A. Richardson. Airborne laser systems testing and analysis. The Research and Technology organisation of NATo, united States, 2010.
Lindstrom, M. & eklundh, J.o. Detecting and tracking moving objects from a mobile platform using a laser range scanner. In IEEE International Conference on Intelligent Robots and Systems. 2001, 3, 1364-1369.
Shutao, Zheng; Qitao, Huang; Jun, Jin & Junwei, Han. Flight simulator architecture development and implementation. In IEEE International Conference on Measuring Technology and Mechatronics Automation, 2009, 2, 230-233. doi: https://doi.org/10.1109/ICMTMA.2009.185
Zheng, Shupeng; Zheng, Shutao;He, Jingfeng & Han, Junwei. An optimized distributed real-time simulation framework for high fidelity flight simulator research. In IEEE International Conference on Information and Automation,1597-1601, 22 - 25 June 2009. doi: https://doi.org/10.1109/ICINFA.2009.5205172
Allerton, D.J. The impact of flight simulation in aerospace. Aeronautical J., 2010, 114 (1162), 747-756. doi: 10.1017/S0001924000004231
Cha, Philip D.; Dym, Clive L. & Rosenberg, James J. Fundamentals of modeling and analyzing engineering systems. Cambridge university Press, 2000. doi: 10.1121/1.1391247
Baltsavias, E.P. Airborne laser scanning: basic relations and formulas. ISPRS J. Photogrammetry Remote Sensing,1999, 199-214. doi: 10.1016/S0924-2716(99)00015-5
Bang, ki. In; Habib, Ayman & kersting, Ana. estimation of biases in lidar system calibration parameters using overlapping strips. Canadian J. Remote Sensing, 2010, 36(2), S335-S354. doi: https://doi.org/10.5589/m10-054
Ren, H.C.; yan, Q.; Liu, Z.J.; Zuo, Z.Q.; Xu, Q.Q.; Li, F.F. & Song, C. Study on analysis from sources of error for Airborne LIDAR. In IOP Conference Series: Earth and Environmental Science, 2016, 46, p. 012030. doi: https://doi.org/10.1088/1755-1315/46/1/012030
Hulea, Mircea; Tang, Xuan; ghassemlooy, Zabih & Rajbhandari, Sujan. A review on effects of the atmospheric turbulence on laser beam propagation: An analytic approach. In IEEE 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 2016. doi: https://doi.org/10.1109/CSNDSP.2016.7573975
Norton, John. An introduction to sensitivity assessment of simulation models. Environ. Modelling Software, 2015,69, 166-174. doi: https://doi.org/10.1016/j.envsoft.2015.03.020
Song, Lin; Ding, yuanming & Liu, Qingli. BeR characteristics analysis of atmosphere laser propagation in a variety of weather factors. Int. J. Innovative Comput., Info. Control, 2014, 10(4),1447–1455. http://www.ijicic.org/ijicic-13-03101d.pdf (Accessed on 4 July 2017).
Mazin, Ali; Abd, Ali. & Miami, Abdulatteef, Mohammed. effect of atmospheric attenuation on laser communications or visible and infrared wavelengths. J. Al-Nahrain University, 2013, 16(3), 133-140. doi: https://doi.org/10.22401/JNuS.16.3.19
Bulat, Pavel. V.; Volkov, konstantin. N. & Ilyina, ekaterina,ye. Model of interaction of laser radiation with a drop of liquid. Int. Electron. J. Math. Edu., 2016, 11(8), 3009-3020. http://www.iejme.com/download/model-of-interaction-of-laser-radiation-with-a-drop-of-liquid.pdf (Accessed on 9 November 2017).
Sabatini, Roberto; Richardson, Mark.A.; gardi, Alessandro. & Ramasamy, Subramanian. Airborne laser sensors and integrated systems. Prog. Aerospace Sci., 2015, 79, 15-63.
Where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India