International Journal of Science, Engineering and TechnologyAuthors: Pratikbhai Patel
Abstract: The current wireless communication systems demand the use of sophisticated signal processing methods to make the communication reliable and stable in the complex and dynamic transmission conditions. The fast development of the mobile broadband services, as well as the rising use of the multi-band wireless communication systems, have enhanced the necessity of the effective digital signal processing structures that could improve the quality of signals and eliminate the interference. This paper examines adaptive digital signal processing methods which are employed to enhance reliability of communication over the current wireless communication standards such as 4G and 5G systems. The study is centered on optimization of Fast Fourier Transform algorithms in order to implement effective frequency-domain signal processing and use of adaptive filtering algorithm to achieve noise cancellation and signal enhancement. These signal processing techniques are compared based on their ability to improve signal to noise ratio, their computational complexity, and their ability to be implemented in hardware. The results indicate that optimized FFT architectures can be used to greatly lower computational latency and adaptive filtering algorithms can be used to enhance signal resilience in wireless environments susceptible to interferences. The paper also addresses how adaptive digital signal processing can be used in multi-band wireless compatibility and global communication interoperability. The findings indicate that effective signal processing models are useful in sustaining high-capacity wireless communication systems and those that provide dependable connectivity in heterogeneous wireless networks.
DOI: https://doi.org/10.5281/zenodo.19092687
