ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques)

ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) is a method used in signal processing to accurately determine the characteristics of multiple signals present in a noisy environment. It works by analyzing data gathered from multiple sensors arranged in a specific way, leveraging the pattern of how signals change across these sensors. This technique exploits the mathematical property called "rotational invariance" to estimate signal parameters such as frequency, phase, or direction. ESPRIT is valued for its high precision and efficiency, especially in applications like radar, wireless communication, and acoustics, where identifying multiple signals accurately is crucial.