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Multiple Target Detection For OFDM Radar Based On Convolutional Neural Network
2021
Turkish Journal of Computer and Mathematics Education
The objective of this paper is to propose a multiple target identification technique for orthogonal frequency division multiplexing (OFDM) radars. First, a 2-D (range & Doppler) periodogram is obtained from the reflected signal through 2-D fast Fourier transform (FFT) of the received OFDM symbols. Usually, the peaks of the periodogram indicates the targets. Conventionally, peak search algorithms are used to find the multiple targets. In this paper, however, a convolutional neural network (CNN)
doi:10.17762/turcomat.v12i6.1976
fatcat:gaqq32hc6zfj3cmmyxqfxupxpa