Target estimation in bistatic MIMO radar via tensor completion

In this paper, the problem of target estimation in bistatic multiple-input multiple-output (MIMO) radar is tackled via low-rank tensor completion. Our solution consists in jointly computing the direction-of-departure and direction-of-arrival parameters of a sparse target scene, where only partial data are collected at the front-end during multiple pulse periods. By recasting the data model as a low-rank third-order tensor with missing entries, an accelerated proximal gradient line-search algorithm coupled with rank detection is devised to obtain an accurate rank estimate in a noisy environment with unknown number of targets. Computer simulation results demonstrate the effectiveness of the proposed method, which outperforms several state-of-the-art algorithms dealing with the same problem.