Implementation of Signal Processing Algorithms For Sensor Array Processing Systems

Abstract

This project focuses on the design, implementation, and evaluation of digital filters using MATLAB simulation and C# programming. The project aims to explore the fundamental concepts of signal processing and filter design, with a specific focus on Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters, alongside Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT) transforms. The project begins with an exploration of filter theory, covering key concepts such as sampling frequency, cutoff frequency, transition bandwidth, and filter order. MATLAB simulation is employed to design and analyze FIR and IIR filters, allowing for the examination of frequency response characteristics, input signal processing, and output signal analysis. Additionally, FFT and IFFT transforms are utilized to analyze frequency domain properties and process signals efficiently. Subsequently, the designed filters are implemented in C# using Microsoft Visual Studio and the NI Measurement Studio plugin. The C# implementation enables real-world deployment of the filters, facilitating signal processing tasks in various applications. The project concludes with comprehensive testing and evaluation of the designed filters, including performance metrics analysis and comparison between MATLAB simulation and C# implementation. Through this project, insights into digital filter design, implementation, and testing methodologies are gained, providing a foundation for further exploration in the field of digital signal processing.