Abstract
In order to produce large amounts of timeliness data rapidly and simulate the echo signals effectively, this paper proposes a digital reconstruction model which uses real track information extracted from Google Earth route to construct the echo and utilizes the corresponding processing algorithms to realize the track. Due to the time of the original CPU platform producing the same amount of echo signal data is an extremely protracted process, the method of applying high-speed parallel capabilities of the Graphics Processing Unit (GPU) based on the CUDA platform to participate in echo reconstruction and track simulation is presented to improve the operating speed. Comparing the real track with which obtained by the echo simulator, the results not only verify the validity and consistency of the two processing algorithms based on the real track reconstruction of Google Earth, but prove the fast floating-point computing capability of GPU whose power has great advantages of enhancing the performance of simulated echo signals and echo signal simulation algorithms.
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Hu, M., Yan, S., Yang, Q. (2019). Parallel Processing Implement Construction of Target Echo Simulation Based on Real Track. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_144
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DOI: https://doi.org/10.1007/978-981-10-6571-2_144
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