A Novel Real-Time Error Registration Method for Radar Networks
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Resource Overview
This custom MATLAB code implements the real-time error registration technique proposed by Dong Yunlong, He You, and Wang Guohong in their paper "A Novel Real-Time Error Registration Method for Radar Networks," utilizing Kalman filtering for registration purposes.
Detailed Documentation
In the paper "A Novel Real-Time Error Registration Method for Radar Networks" by Dong Yunlong, He You, and Wang Guohong, we address the challenge of real-time error registration in radar network data. To accomplish this, we developed custom MATLAB code that employs Kalman filtering for the registration process. The Kalman filter algorithm is a recursive state estimation technique particularly effective for extracting meaningful signals from noisy sensor measurements. Our implementation processes radar data streams in real-time, incorporating key functions for covariance prediction and measurement updates to enhance data accuracy and precision. The code structure includes modules for sensor fusion and systematic error compensation, ensuring robust performance in dynamic radar network environments.
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