Abstract:

Currently, fast algorithms are employed for reconstructing multireceiver synthetic aperture sonar (SAS) imagery. But the datasets must be preprocessed into monostatic SAS equivalents. And the preprocessing step usually involves timeconsuming interpolation and spacevariant phase corrections. Considering each transmitterreceiver pair based on the multireceiver SAS practical model, the twodimensional frequency point scatter response (PSR) can be expressed as the multiplication of rangevariant and rangeinvariant parts through the principle of stationary phase. 〖JP+2〗Then the resultant image corresponding to the datasets of each transmitterreceiver pair is gotten via Chirpscaling (CS) algorithm. And a highresolution SAS complex image can be obtained by coherently superposing each individual image. Finally the simulation and lake trial results show the validity of this method.