A Comparative Analysis of Traditional Spectrum Correction Methods versus All-Phase Spectrum Correction

Both traditional spectrum correction methods and all-phase spectrum correction methods are employed to address spectrum mismatch issues in radio signals. While traditional methods have been widely adopted in practice, they exhibit certain limitations such as insufficient compatibility with complex scenarios like multipath transmission. In contrast, all-phase spectrum correction employs beamforming techniques and intelligent algorithms to better resolve these issues, demonstrating superior performance in practical applications. For implementation, traditional methods typically rely on Fast Fourier Transform (FFT)-based corrections with simple windowing functions (e.g., Hanning or Hamming windows) to mitigate spectral leakage. Alternatively, all-phase correction utilizes advanced phase reconstruction algorithms, often incorporating code-based phase difference calculations between adjacent frequency bins to enhance accuracy in noisy environments. Consequently, the all-phase spectrum correction method finds extensive application in radio signal calibration workflows.