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An algorithm for radar signal detection method based on a time-frequency representation (TFR) and Viterbi algorithm (VA) is proposed. Two TFR methods are considered, Short-time Fourier Transform (STFT) and S-method (SM). Performance and detection ability of the proposed algorithm was investigated on real radar signals of a single manuvering target with added Gaussian noise and signal-to-noise ratio...
The time-frequency representation (TFR) is a powerful tool for analysis of non-stationary signals. In the past decades, TFRs have been primarily devoted to the analysis tasks in the sense that they were introduced so as to depict time-frequency structure of time-varying signals and non-stationary processes in the time-frequency plane. Also, there has been a permanent interest in tackling decision...
In this paper, we present the S-method-based approach to real-time motion compensation, image formation and image enhancement of moving targets in ISAR and SAR. This approach performs better than the Fourier transform by drastically improving images of fast, maneuvering targets. These advantages are a result of the S-method's ability to automatically compensate for quadratic and all even higher-order...
The commonly used technique for inverse synthetic aperture radar (ISAR)/synthetic aperture radar signal analysis is a two-dimensional Fourier transform (FT), which results in an image of the target's reflectivity mapped onto a range and cross-range plane. However, in cases where the line-of-sight projections of the target's point velocities change or there is uncompensated movement within the coherent...
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