Target Parameter Estimation Algorithm Based on Real-Valued HOSVD for Bistatic FDA-MIMO Radar

Since there is a frequency offset between each adjacent antenna of FDA radar, exists angle-range two-dimensional dependence in the transmitter. For bistatic FDA-multiple input multiple output (MIMO) range-direction departure (DOD)-direction arrival (DOA) information coupled transmitting steering vector. How to decouple three has become focus research. Aiming at issue target parameter estimation FDA-MIMO real-valued algorithm based on high-order-singular value decomposition (HOSVD) developed. Firstly, for decoupling DOD and range transmitter, it necessary divide transmitter into subarrays. Then, forward–backward averaging unitary transformation techniques are utilized convert complex-valued data data. The signal subspace obtained by HOSVD, spatial spectral function constructed. Secondly, dimension spectrum reduced Lagrange algorithm, so that only related DOA, DOA obtained. Then increment subarrays used information, eliminate phase ambiguity same time. Finally, automatically matched with proposed uses multidimensional structure high-dimensional promote performance. Meanwhile, tensor-based method can effectively cut down computing Simulation results verify high efficiency developed method.