TOA and DOA Estimation of Mimo OFDM Signals for Uniformlinear Array Radar Based on Music

As a widely used communication signal, orthogonal frequency division multiplexing (OFDM) signal has good sensing performance. It is the key technology of the integration of sensing and communication (ISAC), which is the potential core technology of the sixth generation mobile communication. The fusion of Multiple input and multiple output (MIMO) technology and OFDM signal was conducted to improve the communication speed and imaging resolution of ISAC system. In our work, the multi-signal classification (MUSIC) algorithm is adopted to process MIMO-OFDM data and achieve time of arrival (TOA) and direction of arrival (DOA) estimation. Based on the simulations and experiments in a variety of multi-object scenes, it shows that the MUSIC algorithm can restore the position of the objects more accurately and more robustness than traditional ways.