N.V. Astakhov1, A.S. Badaev2, O.Yu. Makarov3, A.S. Demikhova4, V.M. Pitolin5

1−5 Voronezh State Technical University (Voronezh, Russia)

Formulation of the problem. With the achievement of high computational power in signal processing, in recent years, multipath radar systems (radar with multiple inputs and multiple outputs (MIMO)) have become increasingly widespread, some of the application features of which are considered in this paper. MIMO radars can increase the number of available degrees of freedom. These degrees of freedom can be used to improve resolution, reduce interference, and improve performance. MIMO radar explores a channel by transmitting multiple signals: separated temporally, spectrally, or spatially. For most of the examples of using MIMO radars discussed in this article, signal separation by shape is used, which allows you to organize the multiplicity of the emission and reception of the MIMO signal, while the signals do not have to be orthogonal. The easiest way to visualize a spatial MIMO radar is to transmit and receive independent signals from multiple spatially separated transmitting and receiving antennas. This type of MIMO radars will be discussed in this article. However, the findings can be generalized to other MIMO constructs.

Purpose. To develop criteria for evaluating the recognition of objects and their maximum number for modern MIMO radar systems in comparison with phased radars. Generate an evaluation of recognition criteria for a MIMO radar system containing a homogeneous linear matrix of M = Mt = Mr = 10 antennas and a half-wave interval between adjacent antennas.

Results. As a result of the conducted studies and their interpretation, the paper concludes that the maximum number of targets that can be uniquely identified by a MIMO radar can be Mt times greater than that of its analog with a phased array.

Practical significance. The results obtained can be used in the design of modern MIMO-radar systems and the analysis of the feasibility of their use in a particular case, including in comparison with phased array radars.

Astakhov N.V., Badaev A.S., Makarov O.Yu., Demikhova A.S., Pitolin V.M. Application of mimo radars for precise detection of objectivesand evaluation of their parameters. Radiotekhnika. 2021. V. 85. № 6. P. 23−26. DOI: https://doi.org/10.18127/j00338486-202106-04 (In Russian)

1. Li J., Stoica P., Xu L., Roberts W. On parameter identifiability of MIMO radar. IEEE Signal Processing Lett. To be published.
2. Astahov N.V., Bashkirov A.V., Zhurilova O.E., Makarov O.Ju. Chastotno-vremennoj analiz nestacionarnyh signalov metodami vejvletpreobrazovanija i okonnogo preobrazovanija Fur'e. Radiotehnika. 2019. T. 83. № 6(8). S. 109-112 (In Russian).
3. Stoica P., Moses R.L. Spectral Analysis of Signals. Upper Saddle River. NJ: Prentice-Hall. 2005.
4. Bashkirov A.V., Muratov A.V. Analiz jenergojeffektinosti algoritmov pomehoustojchivogo dekodirovanija. Radiotehnika. 2012. № 8.  S. 67-70 (In Russian).