基于关联计算的相控阵雷达前视成像技术

doi:10.12305/j.issn.1001-506X.2021.09.11

Abstract

Abstract:

Based on the principle of correlated computing imaging, a forward-looking imaging technology for phased array radar is proposed. The random phase shift is realized by configuring two dimensional phased array radar. In order to simulate the random fluctuation light field in classical quantum correlation imaging and realize the measurement uncorrelation, it is necessary to control the wavefront radiated by two-dimensional phased array to exhibit random amplitude and phase fluctuation characteristics, and then combine the compressed sensing (CS) model framework with sparse Bayesian learning (SBL), SBL algorithm solves the problem of correlation coupling to realize the super resolution imaging in the direction and elevation dimensions of the target scene. Even without the relative motion between the radar and the target, the forward-looking super resolution three dimensional imaging can be realized by combining the wideband signal system. The correctness of the principle and the effectiveness of the algorithm are verified by simulation experiments and measured data.

Key words: correlated imaging, forward-looking three-dimensional imaging, compressive sensing (CS), super resolution

CLC Number:

TN957.52

Feng RUAN, Liang GUO, Yachao LI, Ran XU. Phased array radar forward-looking imaging based on correlated imaging[J]. Systems Engineering and Electronics, 2021, 43(9): 2457-2462.

Figures/Tables 7

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Phased array radar forward-looking imaging based on correlated imaging

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