Multistatic MIMO radar target localization via coupled canonical polyadic decomposition

Abstract

Target localization is considered based on a multistatic MIMO radar that consists of a single transmit array and multiple receive arrays. The output data of the multistatic MIMO radar is formulated into a set of tensors that together admits a coupled canonical polyadic decomposition (C-CPD) model, and a thorough study on the identifiability of the C-CPD model is provided. In addition, a C-CPD based computational framework for target localization is presented, consisting of coupled data compression in the preprocessing step, several (semi-)algebraic and optimization based C-CPD algorithms in different scenarios as the main body of the framework, and a data fusion approach that calculates the optimal position of each target by fusing the C-CPD results in the postprocessing stage. Due to the exploitation of coupling, the proposed C-CPD based framework is free of parameter pairing and can yield more accurate estimates than conventional single-set based methods. In addition, the proposed method does not require prior knowledge of probing waveforms, which can be non-orthogonal, and can work in difficult underdetermined cases. Experiments are provided to illustrate the performance of the proposed framework.