Angle estimation method based on 2q-order nested MIMO array structure

Abstract

The invention belongs to the technical field of radar, and discloses an angle estimation method based on a 2q-order nested MIMO array structure. The method comprises the following steps of: S1, designing a 2q-order nested MIMO array structure; S2, calculating 2q-order cumulants of received signals according to the 2q-order nested MIMO array, and arranging the 2q-order cumulants to obtain a 2q-order cumulant matrix; S3, constructing a 2q-order sum-difference joint array based on the 2q-order cumulant matrix; S4, constructing an average value C'of a covariance matrix according to the 2q-order sum-difference joint array; and S5, estimating the DOA based on the average value C'of the covariance matrix by adopting a multi-signal classification MUSIC algorithm or a signal parameter ESPRIT algorithm based on a rotation invariant technology. Therefore, the estimation method can further improve the degree of freedom while suppressing Gaussian color noise, and improve the estimation precision and the estimable target number.

Description

technical field [0001] The invention relates to the field of radar technology, in particular to an angle estimation method based on a 2q-order nested MIMO array structure. Background technique [0002] Angle estimation is an important issue in the field of array signal processing, and it is widely used in radar, sonar, and communication fields. Direction of Arrival (DOA) estimation is the most basic problem in angle estimation. In order to realize DOA estimation Scholars have successively proposed multiple signal classification (Multiple Signal Classification, MUSIC) algorithm and rotation-invariant technique-based estimation of signal parameters (Estimating Signal Parameters via Rotational Invariance Techniques, ESPRIT) algorithm and other classic DOA estimation algorithms. For the convenience of research, the classic DOA estimation algorithm often assumes that the received noise is Gaussian white noise [1] ZHAO Y B, SHUI P L, LIU HW. Computationally efficient DOA estimatio...

AI Technical Summary

Problems solved by technology

However, there are certain holes in the difference joint array corresponding to its 2q-order nested array. When applying algorithms such as MUSIC, only the continuous array elements can be used, and the discrete array elements are wasted.

[0003] Gaussian color noise will lead to a decrease in the performance of angle estimation. Although the high-order cumulant algorithm based on the uniform line array can suppress the Gaussian color noise to achieve angle estimation, the degree of freedom of the uniform line array is limited.

Most of the algorithms based on high-order cumulants to solve the problem of Gaussian color noise are based on uniform densely wired arrays, although there are algorithms that combine high-order cumulants with nested arrays to form 2q (q is a positive integer) order nested arrays, thereby suppressing Gaussian color noise. While improving the degree of freedom, but there are holes in the formed virtual array elements, resulting in the fact that some virtual array elements cannot be effectively used due to discreteness.

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