Time-Frequency Multi-Invariance ESPRIT for DOA Estimation

In this letter, a new ESPRIT-type algorithm is presented for estimating the direction of arrival (DOA). We reconstruct the received signal to form a time-frequency (t-f) data model with a multi-invariance (MI) property, and then a t-f MI Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithm for DOA estimation is proposed. This algorithm constructs a spatial t-f distribution matrix in terms of variable temporal and frequency points and combines multiple subarrays rearranged from a uniform linear array (ULA) to estimate far-field narrowband signals. Considering the model of multiple narrowband chirp sources, simulation results illustrate that t-f MI-ESPRIT outperforms t-f ESPRIT and MI-ESPRIT under different signal-to-noise ratio (SNR) and snapshot numbers.