基于支持向量回归的宽带信号多频带联合测向方法
By constructing a support vector regression model and performing data preprocessing and focusing matrix transformation, the problem of excessively long training time in broadband signal direction finding methods is solved, and efficient and accurate multi-band joint direction finding is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN UNIV OF TECH
- Filing Date
- 2024-09-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing broadband signal direction finding methods based on support vector regression experience a sharp increase in training time when multiple frequency points are input in parallel, especially when processing broadband or ultra-wideband signals, where the time increases exponentially, leading to low efficiency.
By constructing a multi-band joint direction finding method for broadband signals, and utilizing a support vector regression model, combined with data preprocessing and focusing matrix transformation, the input features are reduced in dimensionality and an SVR model with a Gaussian kernel function is established for multi-band joint estimation.
This improved the algorithm's robustness and training efficiency in complex environments, achieving high-resolution, high-precision broadband signal direction finding performance.
Smart Images
Figure CN119001594B_ABST