Range-Doppler (R-D) Imaging Algorithm for Stationary Point Targets with Migration Correction
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Resource Overview
This Range-Doppler (R-D) imaging algorithm for stationary point targets features a migration correction module, implemented based on Professor Bao Zheng's seminal work "Radar Imaging Technology." The implementation includes key signal processing stages such as range compression, Doppler processing, and migration correction using interpolation or phase compensation techniques. Highly beneficial for radar imaging beginners, the code demonstrates practical application of theoretical concepts with clear MATLAB/Python function structures for educational purposes.
Detailed Documentation
The Range-Doppler (R-D) imaging algorithm for stationary point targets, developed according to Professor Bao Zheng's "Radar Imaging Technology," incorporates a migration correction module that significantly aids beginners in radar imaging. The algorithm implementation typically involves three core stages: range compression through matched filtering, Doppler processing via FFT-based spectral analysis, and migration correction using interpolation methods like sinc interpolation or phase compensation techniques. The book provides comprehensive coverage of radar imaging principles and applications, serving as an invaluable resource for readers seeking deep understanding of radar imaging technology. Through studying this material, learners can master fundamental concepts and implementation methods of stationary point target R-D imaging, including practical code structures for signal preprocessing, phase history processing, and image formation algorithms. This knowledge foundation enables greater achievements in the field of radar imaging, with particular emphasis on handling range-cell migration effects through programmable correction modules.
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