Time-Frequency Multi-Invariance ESPRIT for DOA Estimation
Jincheng Lin, Xiaochuan Ma, Shefeng Yan, Chengpeng Hao · IEEE Antennas and Wireless Propagation Letters · 2015
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$(t{\hbox{-}}f)$data model with a multi-invariance (MI) property, and then a$t{\hbox{-}}f$MI Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithm for DOA estimation is proposed. This algorithm constructs a spatial$t{\hbox{-}}f$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$t{\hbox{-}}f$MI-ESPRIT outperforms$t{\hbox{-}}f$ESPRIT and MI-ESPRIT under different signal-to-noise ratio (SNR) and snapshot numbers.