Editing Imaging radar (section)

==Time-Frequency Domain techniques==
{{unreferenced section|date=December 2024}}
Time-Frequency Domain techniques are essential in imaging radar to analyze and process signals that vary in both time and frequency. Radar signals are often non-stationary due to moving targets or environmental changes. Time-Frequency Domain techniques provide insights into how signal characteristics (e.g., frequency) evolve over time, enabling better understanding and extraction of target information.

'''Common Methods for Time-Frequency Analysis：'''
{| class="wikitable"
|-
!Method
!Principle
!Strengths
!Limitations
|-
|[[Short-time Fourier transform]]
|Decomposes the radar signal into time-localized frequency components using short overlapping windows.
|Easy to implement and interpret.
|Trade-off between time and frequency resolution.
|-
|[[Wavelet Transform]]
|Uses wavelet functions to decompose radar signals into time-scale (frequency) representations.
|Multi-resolution capability; suitable for non-stationary signals.
|Requires careful selection of wavelet basis.
|-
|[[Hilbert-Huang Transform]]
|Decomposes signals into Intrinsic Mode Functions (IMFs) for instantaneous frequency analysis.
|Well-suited for non-linear, non-stationary radar signals.
|Computationally intensive and sensitive to noise.
|-
|[[Wigner distribution function]]
|Provides high-resolution time-frequency representation by analyzing signal energy distribution.
|High resolution in both time and frequency domains.
|Prone to cross-term interference in multi-component signals.
|-
|-
|}