2022•Unpublished venueRequires access

Research on distributed MIMO radar imaging technology based on compressed sensing

Dongpo Xu, Yunqing Liu, Renjun Liu, Xiaolong Li

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Abstract

The application scenario of radar and the imaging quality are closely related. In this paper, we propose a distributed MIMO radar array imaging technique for radar imaging resolution, which uses compressed sensing to reconstruct the radar echo signal for imaging, and can improve the imaging quality of MIMO radar. By simulating a single MIMO radar and a distributed MIMO radar model, the results show that the distributed MIMO radar model has higher imaging resolution than a single MIMO radar, especially with higher angular resolution.

About this research paper

What this paper is about

The application scenario of radar and the imaging quality are closely related. In this paper, we propose a distributed MIMO radar array imaging technique for radar imaging resolution, which uses compressed sensing to reconstruct the radar echo signal for imaging, and can improve the imaging quality of MIMO radar. By simulating a single MIMO radar and a distributed MIMO radar model, the results show that the distributed MIMO radar model has higher imaging resolution than a single MIMO radar, especially with higher angular resolution.

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Method / approach

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Available abstract

The application scenario of radar and the imaging quality are closely related. In this paper, we propose a distributed MIMO radar array imaging technique for radar imaging resolution, which uses compressed sensing to reconstruct the radar echo signal for imaging, and can improve the imaging quality of MIMO radar. By simulating a single MIMO radar and a distributed MIMO radar model, the results show that the distributed MIMO radar model has higher imaging resolution than a single MIMO radar, especially with higher angular resolution.

Key concepts: Radar imaging, Radar engineering details, Continuous-wave radar, Radar, Computer science, MIMO, Remote sensing, Bistatic radar

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