Article
Radar system simulation and non-Gaussian mathematical model under virtual reality technology
Authors
Abstract
The characteristics of non-Gaussian clutter in radar systems are different from standard waveforms. To fully filter to achieve the accuracy of radar detection, the paper developed a radar simulation system based on virtual reality technology. The article uses a non-Gaussian mathematical model to simulate and collect the clutter generated by the system and realise the generation of data sequence according to the power spectrum. The research results show that the radar cross-section modelling, target recognition, anti-recognition and data fusion technology of visible targets can all be well applied in this system.
Keywords
Virtual reality, radar system, non-Gaussian clutter, system simulation, 60G15
Citation
Yi, Q. (2021). Radar system simulation and non-gaussian mathematical model under virtual reality technology. Applied Mathematics and Nonlinear Sciences, 6(1), 573–580. https://doi.org/10.2478/amns.2021.1.00079
Q. Yi, “Radar system simulation and non-gaussian mathematical model under virtual reality technology,” Applied Mathematics and Nonlinear Sciences, vol. 6, no. 1, pp. 573–580, 2021, doi: 10.2478/amns.2021.1.00079.
Yi Q. Radar system simulation and non-gaussian mathematical model under virtual reality technology. Applied Mathematics and Nonlinear Sciences. 2021;6(1):573–580. doi:10.2478/amns.2021.1.00079.
Yi, Q. (2021), ‘Radar system simulation and non-gaussian mathematical model under virtual reality technology’, Applied Mathematics and Nonlinear Sciences, 6(1), pp. 573–580. Available at: https://doi.org/10.2478/amns.2021.1.00079.
Yi, Qiang. “Radar System Simulation and Non-gaussian Mathematical Model Under Virtual Reality Technology.” Applied Mathematics and Nonlinear Sciences, vol. 6, no. 1, 2021, pp. 573–580. https://doi.org/10.2478/amns.2021.1.00079.
Yi, Qiang. “Radar System Simulation and Non-gaussian Mathematical Model Under Virtual Reality Technology.” Applied Mathematics and Nonlinear Sciences 6, no. 1 (2021): 573–580. https://doi.org/10.2478/amns.2021.1.00079.
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Published by: Engineering Journals


