A MIMO Radar Angle Tracking Method based on Adaptive Parallel Factor Decomposition

To address the problem of high computational complexity in the existing Direction of Arrival (DOA) and Direction of Departure (DOD) tracking algorithms for Multiple Input Multiple Output (MIMO) radar systems, this paper proposes a joint DOA-DOD tracking algorithm for moving targets utilizing the adaptive parallel factor (PARAFAC) decomposition of the multidimensional received data. By establishing a third-order measurement tensor signal model, the proposed adaptive PARAFAC tracking algorithm firstly estimates both the transmit and receive array manifolds jointly, and further tracks the DOD and DOA parameters of the moving targets. According to the simulation results, this approach effectively reduces the computational complexity and improves the real-time performance.