Range-wavenumber representation of SAR Signal

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Presentation transcript:

Range-wavenumber representation of SAR Signal santhosh

SAR Signal (processing) Two dimensional (energy spread in range and azimuth) Goal : to focus into single pixel. Range dimension- spread – duration of chirp transmitted. Azimuth dimension- spread- duration of synthetic aperture

. Range variation zero-Doppler position distance X-axis Range variation causes phase variation in received signal as a function of azimuth Fig.: © DLR

Formation of the Azimuth Chirp Signal

Demodulated baseband SAR signal includes R-4 and target RCS factors transmit waveform amplitude antenna gain variation over synthetic aperture range-dependent phase component quadratic phase term due to transmitted chirp waveform

Chirp transmitted Delayed received signal Demodulated base band signal Range Fourier Transform- POSP Azimuth Fourier Transform – 2d frequency domain – POSP Approximation (linearization) of phase Range – Inverse Fourier transform – range – Doppler domain

(After Secondary Range Compression) RDA Range FFT on raw data – matched filter(pulse compression)- azimuth FFT –secondary range compression – Range IFFT (range –Doppler domain) – RCM in Doppler domain by sinc interpolation (depends on absolute Doppler)- azimuth compression filter – azimuth IFFT 2D Fourier Domain (3 targets) Range Doppler Domain (After Secondary Range Compression) Raw Data (single target)

CSA Azimuth FFT (range – Doppler domain) – chirp scaling – range FFT- range compression(+ range/azimuth decoupling) – bulk RCM – range IFFT (range- Doppler domain) – azimuth compression & phase correction – azimuth IFFT After range IFFT Range –Doppler domain