Low complexity 3D-OMP algorithms for DOD DOA and Doppler frequency estimation in bistatic MIMO radar

ABSTRACT

The biggest challenge of the traditional 3D orthogonal matching pursuit (OMP) method for direction-of-departure (DOD), direction-of-arrival (DOA) and Doppler frequency estimation in bistatic multiple-input multiple-output (MIMO) radar is the heavy computational burden due to a large number of atoms in the overcomplete dictionary. In this paper, low complexity 3D-OMP algorithms are investigated. First, the traditional 3D-OMP algorithm is given. Then, two-dimensionality reduced OMP-based algorithms are proposed exploiting the property of Khatri-Rao product and proper sparse representation. Also, the multiple measurement vectors (MMV) model is introduced to our OMP algorithms to guarantee the estimation performance. The simulation results show that the DOD, DOA and Doppler frequency can be effectively estimated with a small number of pulses and low computation cost. With similar accuracy compared with the traditional 3D-OMP method, much lower computational burden can be achieved by using the proposed methods.

KEYWORDS:

• Multiple-input multiple-output (MIMO) radar
• orthogonal matching pursuit (OMP)
• multidimensional parameter estimation
• low complexity
• array signal processing

Acknowledgments

This work is supported by the National Natural Science Foundations of China (No. 61371158 and No. 61771217), and Jilin Provincial Natural Science Foundation of China under grant No. 20180101329JC. The authors wish to thank the anonymous reviewers for their valuable comments and suggestions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundations of China [61371158 and 61771217]; Jilin Provincial Natural Science Foundation of China [20180101329JC];