A broadband MIMO radar beam forming method in a spectrum dense environment

By constructing a complex circular manifold and a simplified quasi-Newton method based on a manifold-based precise penalty method, and adaptively updating the penalty factor, the problem of ESD control in broadband MIMO radar beamforming in a spectrum-dense environment is solved, and beamforming with higher accuracy and efficiency is achieved.

CN122330818APending Publication Date: 2026-07-03AEROSPACE SCI & IND INTELLIGENT OPERATION RES & INFORMATION SECURITY RES INST (WUHAN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AEROSPACE SCI & IND INTELLIGENT OPERATION RES & INFORMATION SECURITY RES INST (WUHAN) CO LTD
Filing Date
2025-12-31
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In dense spectrum environments, existing technologies struggle to precisely control the energy spectral density (ESD) in the spatial spectrum zero (SSN) region of broadband MIMO radar beamforming, leading to mutual interference and insufficient efficiency of the radar nonlinear power amplifier.

Method used

A manifold-based exact penalty method is adopted. By constructing a complex circular manifold (CCM) and a simplified quasi-Newton (SQN) method, the penalty factor is adaptively updated to optimize broadband MIMO radar beamforming to meet the constant mode constraint and spatial spectrum zeroing constraint.

Benefits of technology

It achieves precise control of ESD in the SSN area, reducing ESD by 8.8dB and beam pattern matching mean square error (MSE) by 0.02dB, thereby improving the accuracy and efficiency of radar beamforming.

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Abstract

This invention belongs to the field of radar technology, specifically relating to a method for broadband MIMO radar beamforming in a spectrum-dense environment. The method includes: Step 1: constructing an optimization model; Step 2: manifold transformation and penalty function construction; Step 3: solving using a simplified quasi-Newton method; Step 4: adaptively updating the penalty factor to improve the optimization process for broadband MIMO radar beamforming in a spectrum-dense environment, providing a final manifold-based accurate penalty method. The method first constructs a CCM that satisfies the CMC, and reformulates the SSNC as an accurate penalty function, thus transforming the problem into an unconstrained optimization problem on the CCM; subsequently, a simplified quasi-Newton method is developed to optimize the problem on the CCM; finally, the penalty factor is adaptively updated to improve the optimization process.
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