Research on Dual-Base SAR Imaging Algorithm with Matlab Code

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🔥 Content Introduction

Core Features of BiSAR: The transmitter and receiver are located on different platforms, moving independently. This is fundamentally different from single-base SAR (integrated transmission and reception), leading to more complex echo models and signal processing, but also providing greater observational freedom and anti-jamming capability.

The core goal of this code is: to numerically simulate the raw echo signal (Raw Data) received by the radar based on the set BiSAR system parameters, target position, and motion trajectory, and to perform preliminary signal processing (range compression and range walk correction).

The entire process can be divided into the following main parts:

1. Parameter Initialization: Define the basic parameters of the radar system, platform motion, targets, scenes, and signals.
2. Platform Position Calculation: Calculate the instantaneous positions of the transmitter and receiver at each sampling moment based on slow time (azimuth sampling time).
3. Echo Signal Generation: Traverse all targets, calculate the echo contribution of each target at each fast time/slow time sampling point based on the geometric relationship with the two platforms, and superimpose to form the final raw echo data matrix.
4. Preliminary Signal Processing: Perform range compression and range walk correction (LRWC) on the generated raw echo to prepare for subsequent azimuth compression and imaging.
5. Result Visualization and Parameter Saving

⛳️ Running Results

📣 Some Code

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% Inverse FFT w.r.t. the second variable %

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function s=ifty(fs)

s=fftshift(ifft(ifftshift(fs,2),[],2),2);

🔗 References

🎈 Some theoretical references from online literature, please contact the author for removal if there is any infringement.

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