Angle Estimation Method for Bistatic MIMO Radar in the Background of Airspace Color Noise

Abstract

The invention discloses a double-base MIMO radar angle estimation method in a spatial domain color noise background. The method comprises constructing a covariance matrix of receiving array data after matched filtering; constructing a propagation operator through the covariance matrix, and obtaining an optimal solution which is estimated by the propagation operator; obtaining array signal sub-space estimation according to the optimal solution which is estimated by the propagation operator; and finally obtaining a matched angle through a rotation invariance characteristic of the sub-space through a least square method. The double-base MIMO radar angle estimation method does not require high-complexity SVD operation or HOSVD operation, thereby realizing low operation complexity. Furthermore a DOD and a DOA which are automatically paired can be obtained. No further paring operation is required. The double-base MIMO radar angle estimation method is suitable for the spatial domain color noise background at any covariance matrix position and has high algorithm robustness.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to a bistatic MIMO radar angle estimation method under the background of color noise in the airspace. Background technique [0002] The Multiple-input Multiple-output (MIMO) system is one of the core technologies in the fields of communication and detection in the future, and it is also one of the hot research technologies in recent years. In the field of radar detection, MIMO radar will be the most promising next-generation radar system. Different from the existing phased array radar system, MIMO radar adopts the signal processing mode of multiple transmission and multiple reception, and uses diversity gain to greatly improve the target detection performance. Compared with traditional phased array radar systems, MIMO radar has potential advantages in terms of resolution, anti-fading, identifiability, and noise suppression. According to the different configurations of MIMO r...

AI Technical Summary

Problems solved by technology

Both SVD and HOSVD are unable to meet the calculation requirements of the actual radar system, so the above algorithm is not suitable for the actual MIMO radar system. It is of urgent practical significance to seek an efficient parameter estimation algorithm in the background of colored noise for future MIMO radar engineering.

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