A meshless target parameter estimation method based on FDA-MIMO radar with single base station array

By constructing an angle-range decoupling model in a monostatic array FDA-MIMO radar, and utilizing the low-rank matrix reconstruction optimization problem of the selection matrix and covariance matrix, the problem of angle-range coupling in linear array FDA-MIMO radar is solved, improving estimation accuracy and reducing computational complexity.

CN116819481BActive Publication Date: 2026-04-14NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Application Number
CN202310965244.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-08-02
Publication Date
2026-04-14
Estimated Expiration
2043-08-02

AI Technical Summary

Technical Problem

In the existing technology, FDA-MIMO radar based on linear arrays has the problem of angle and range coupling when estimating target parameters, resulting in low accuracy and high computational complexity. It cannot effectively decouple angle and range, and the computational cost is high.

Method used

A gridless target parameter estimation method based on a monostatic surface array FDA-MIMO radar is adopted. By constructing an angle-range decoupled received signal model, a low-rank matrix reconstruction optimization problem is established using the selection matrix and covariance matrix, and the problem is solved by the alternating projection method to achieve the decoupling of angle and range.

Benefits of technology

In area array FDA-MIMO radar, more target information can be acquired, estimation accuracy can be improved, computational complexity can be reduced, high-resolution target parameter estimation can be achieved, and the effects of grid mismatch can be avoided.

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Abstract

The application provides a FDA-MIMO radar gridless target parameter estimation method based on a single base plane array, relates to the technical field of array signal processing, constructs a single base plane array FDA-MIMO radar system, and the transmitting end and the receiving end of the radar system are composed of a uniform plane array; a receiving signal model is established based on the radar system, the model is vectorized, a selection matrix is introduced to construct an angle-distance decoupling receiving signal model; the covariance matrix of the receiving signal model is calculated; a low-rank matrix reconstruction optimization problem suitable for the model is established according to the covariance matching criterion; the optimization problem is solved by the idea of alternating projection by using the properties of the covariance matrix; the information of the angle theta and the distance r is estimated by the multiple signal classification method according to the covariance matrix; the problems that the FDA-MIMO radar angle-distance decoupling model in the prior art is only suitable for a linear array, and the target parameter estimation method has low estimation accuracy and high calculation complexity can be solved.
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