Abstract
The direction-of-departure (DOD) and the direction-of-arrival (DOA) are important localization parameters in bistatic MIMO radar. In this paper, we are interested in DOD/DOA estimation of both single-pulse and multiple-pulse multiple-input multiple-output (MIMO) radars. An iterative super-resolution target localization method is firstly proposed for single-pulse bistatic MIMO radar. During the iterative process, the estimated DOD and DOA can be moved from initial angles to their true values with high probability, and thus can achieve super-resolution estimation. It works well even if the number of targets is unknown. We then extend the proposed method to multiple-pulse configuration to estimate target numbers and localize targets. Compared with existing methods, both of our proposed algorithms have a higher localization accuracy and a more stable performance. Moreover, the proposed algorithms work well even with low sampling numbers and unknown target numbers. Simulation results demonstrate the effectiveness of the proposed methods.
Highlights
A multiple-input multiple-output (MIMO) technique [1,2,3,4] can improve the spectral efficiency and transmission rate without increasing transmitting power
Inspired by the idea of the iterative reweighted (IR) algorithm, we firstly propose a new super-resolution target localization method for single-pulse bistatic MIMO radar, which can be abbreviated as the ISR-S
The target localization problem of this single-pulse bistatic MIMO radar can be formulated as min kĉk0, ĉ,θT,θR
Summary
A multiple-input multiple-output (MIMO) technique [1,2,3,4] can improve the spectral efficiency and transmission rate without increasing transmitting power. In [18], a unitary ESPRIT algorithm using the real-valued signal matrix transformed by the received data matrix is developed for bistatic MIMO radar for target localization It can achieve automatic angle pairing and has lower complexity than the ESPRIT method in [17]. The paper [21] shows a tensor-based real-valued subspace scheme, which combines the higher order singular value decomposition (HOSVD) technique with the methods based on real-valued subspace to estimate DODs and DOAs. In [22], a unitary PARAFAC method based on the transmit beam-space is proposed for bistatic MIMO radar. Inspired by the idea of the IR algorithm, we firstly propose a new super-resolution target localization method for single-pulse bistatic MIMO radar, which can be abbreviated as the ISR-S method It does not require extra angle pairing. The l0 -norm and l2 -norm are denoted by k·k0 and k·k2 , respectively
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