Performance Analysis of OTFS-based System using DWT, FFT and FrFT Transforms under Various Fading Environments

The robustness of Orthogonal Time Frequency Space modulation in demanding communication contexts has attracted a lot of interest. To take advantage of the benefits that each transform offers in various areas of signal processing, this study explores the performance of OTFS modulation by combining a suite of distinct transforms, such as the Fractional Fourier Transform (FrFT), Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT). Here, the OTFS signal is split up into many sub-bands using the DWT, which allows for a multi-resolution analysis that improves the system’s flexibility in response to changing channel circumstances. This breakdown makes it easier to describe and work with signal components, which strengthens the signal’s resistance to frequency-selective fading and lessens the effect of multipath propagation. To offer more options for modifying the signal in the t, and f domains, the FrFT is also used. The OTFS modulation may adapt to changing channel conditions and achieve tighter control over the signal characteristics by constantly optimizing its parameters using the flexibility of FrFT, which has been investigated. Here, the combined effects of several transforms on the SNR, BER, and overall performance of OTFS modulation are presented through a comprehensive performance study that includes simulations and assessments. The proposed systems were analyzed under various levels of PSK modulation, and the results that were obtained were studied for performance comparisons. The outcomes demonstrate the synergistic benefits of applying several transforms, offering insights into the complementarities and trade-offs that may be taken advantage of to improve the dependability and effectiveness of OTFS-based communication systems in a range of dynamic and varied situations. The proposed systems were operated under various fading environments, including AWGN, NAKAGAMI, and RICIAN channels.