2D-DOA Estimation for Multiple FH Signals Based on Unitary ESPRIT

Abstract

In order to use the two-dimensional direction-of-arrival(2D-DOA) of the frequency hopping (FH) signals for network sorting, an FH signal 2D-DOA estimation algorithm based on Unitary ESPRIT is proposed in this paper. Firstly, the snapshot model of FH signal is established based on the structure of the planar antenna array. Then using the morphological filtering method to correct the time-frequency map of FH signals after the SPWVD transform to complete the effective hop extraction, so FH signals can be simplified as a narrow-band signal when studying one hop. Thirdly, the Unitary ESPRIT is exploited to estimate the 2D-DOA of FH signals, which transforms the received data from the complex field to the real domain by the unitary transformation to decrease the calculation complexity and reuses the data during constructing the real matrix to improve the accuracy of the estimation. Finally, we did three experiments to measure the performance of proposed algorithm from three aspects: signal-to-noise ratio, snapshot count and time-consuming. The simulation results show that the proposed algorithm has good performance.