3D radar image fusion using OFDM-based MIMO radar

This paper presents two data fusion algorithms for use in an Orthogonal Frequency Division Multiplexing (OFDM) based Multiple Input Multiple Output (MIMO) radar network, comprising several radar nodes for area surveillance applications. Each node is able to estimate four parameters - 3D positions (range, azimuth and elevation) as well as the velocity of an arbitrary number of targets within one transmit cycle. The raw radar images are then stitched together for higher target estimation accuracy as well as to reveal targets that are hidden from certain nodes due to obstacle shadowing. The first algorithm estimates the 3D target position within the area of observation. The second estimates the 2D (azimuth and range) as well as the velocity parameters. The performance of the algorithms and the radar system is evaluated with numerical simulations.