A wide-band high-precision DOA estimation method based on optimal redundant linear array

By employing a wideband DOA estimation method with an optimal redundant linear array on the UAV platform and utilizing a multi-set and dual-channel coprime sampling model, the problem of insufficient accuracy and resolution in radar countermeasure reconnaissance equipment is solved, achieving high-precision multi-signal direction finding and reducing hardware costs.

CN115792793BActive Publication Date: 2026-06-19AIR FORCE EARLY WARNING ACADEMY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AIR FORCE EARLY WARNING ACADEMY
Filing Date
2022-11-28
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

In existing radar countermeasures and reconnaissance equipment, the single-beam scanning amplitude comparison method and direction finding method have insufficient accuracy and angular resolution, and cannot distinguish multiple signals at the same time. In addition, conventional uniform array antennas cannot be adapted to UAV platforms, and existing technologies cannot effectively solve these problems.

⚗Method used

A wideband high-precision DOA estimation method based on optimal redundant linear array is adopted. By establishing a multi-set sampling model and a dual-channel coprime sampling model, the sampling frequency and data processing volume are reduced. High-precision frequency estimation is achieved by using a sparse Bayesian frequency estimation algorithm.

🎯Benefits of technology

It achieves high-precision simultaneous direction finding of multiple signals on a UAV platform, reduces hardware costs and data processing requirements, and meets the real-time requirements of the frequency measurement system.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the field of antenna technology and discloses a wideband high-precision DOA estimation method based on an optimal redundant linear array. The method includes: establishing a sampling model: constructing a sampling model based on uniform sampling samples at the Nyquist sampling frequency, the sampling model including a multi-set sampling model and a dual-channel coprime sampling model; processing the sampled data and then substituting the processed data into a formula for high-precision frequency estimation. This wideband high-precision DOA estimation method based on an optimal redundant linear array, using a coprime sampling model, significantly reduces the system's data processing volume and sampling hardware requirements. For coprime sampling conditions, a frequency estimation algorithm based on sparse Bayes is proposed, and the algorithm runs quickly, thus meeting the real-time requirements of the frequency measurement system. The coprime sampling model can firstly reduce the ADC's sampling rate, thus reducing the ADC's hardware cost, decreasing the amount of data in the receiving channel, and lowering the requirements for the chip's data processing capabilities.
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