An Improved CP-OFDM SAR Imaging Algorithm Combined with GAIN

The Traditional Range-Doppler algorithm is completed by two-dimensional matched filtering, so there are often sidelobes which may affect synthetic aperture radar (SAR) imaging performance. However, recent studies have shown that CP-OFDM SAR imaging algorithm, which using orthogonal frequency-division multiplexing (OFDM) signals with sufficient cyclic prefix (CP), can obtain ideally zero sidelobes and build an inter-range-cell interference (IRCI)-free SAR image, but with a constraint that the module of each subcarrier’s coefficient should be constant and nonzero. Considering some practical applications, the subcarriers within a certain bandwidth may not necessarily be continuously allocated, thus "0" may appear in the frequency domain vector of an OFDM signal, making it difficult to complete range compression. In this paper, we combine the existing CP-OFDM SAR imaging algorithm with generative adversarial imputation nets (GAIN) to solve this problem, and simulation results are presented to illustrate the performance of this method.