Single-base FDA-MIMO radar distance angle joint estimation method based on real value order reduction

Abstract

The invention relates to a monostatic FDA-MIMO radar distance angle joint estimation method based on real value order reduction, and belongs to the technical field of FDA-MIMO radar research. On the basis of a real value order reduction method, a complex value receiving model is converted into a real value receiving model by utilizing forward and reverse average and unitary transformation technologies, original complex operation is converted into real value operation, the calculation complexity is reduced compared with other methods, then a covariance matrix of a real value receiving signal is calculated according to a maximum likelihood estimation criterion, and the real value receiving signal is obtained. And carrying out eigenvalue decomposition on the real-value covariance matrix by adopting EVD, selecting eigenvectors corresponding to smaller eigenvalues to form a real-value noise subspace, and estimating the angle and the distance by utilizing the real-value noise subspace. According to the angle and distance estimation method, the two-dimensional search cost function of the angle and the distance is decomposed into two one-dimensional searches by using the property of the Kronecker product, and the calculation amount is greatly reduced on the premise of ensuring the search precision.

Description

technical field [0001] The invention belongs to the technical field of FDA-MIMO radar research, in particular to a method for joint estimation of distance and angle of a monostatic FDA-MIMO radar based on real value reduction. Background technique [0002] Since the frequency diversity array (FDA) was proposed, FDA has been a hotspot in the research of array signal processing. Unlike traditional phased arrays, FDA has a range-angle dependent beam pattern using small frequency increments between adjacent transmit antennas, which enables joint range and angle estimates. But the distance-angle coupling of FDA will cause the phenomenon of fuzzy estimation. In order to accurately estimate the position of the target, it is necessary to realize the decoupling of angle and distance, which has become a hot spot of FDA research. [0003] The existing FDA decoupling methods mainly include the double pulse method, the sub-array method, the nonlinear frequency increment method and the ...

AI Technical Summary

Problems solved by technology

But compared with the 2D-MUSIC algorithm, there is a certain performance loss

[0004] In summary, for FDA-MIMO nonlinear frequency increment or non-uniformly spaced linear array usage scenarios, there is currently a lack of an accurate and efficient FDA-MIMO radar target angle and distance estimation method

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