Advancements in Signal Processing Algorithms for Moving Target Indication: A Comprehensive Review
Digital Signal Processing Course Research Project
Reviewed state-of-the-art MTI algorithms combining radar techniques, ML, and real-time processing to improve detection accuracy and reliability in complex tracking environments.
Project Overview
This comprehensive review focuses on the latest advancements in signal processing algorithms designed to enhance Moving Target Indication (MTI), a critical area in radar and tracking systems. MTI is used to detect and track moving targets, such as vehicles or aircraft, by analyzing the Doppler shifts in the radar signals reflected by these targets. This review highlights the key advancements in signal processing algorithms for Moving Target Indication and their impact on improving detection accuracy and reliability. The combination of traditional radar techniques with modern machine learning and real-time processing technologies is shaping the future of MTI systems, making them increasingly capable of detecting and tracking targets in diverse and complex environments.