Wideband and widebeam synthetic aperture sonar (SAS) can provide information on the frequency-and aspectdependent scattering in a scene. We suggest an approach to predict the quality of the sensor data over the available frequencies and aspect angles. We relate the typical spatial domain quality metrics to their wavenumber domain counterpart, and use these to map the data quality in the wavenumber domain. Because SAS arrays often are under-sampled along-track, we pay particular attention to data degradation from aliasing. We use the proposed approach to examine how three SAS image formation algorithms based on time domain back projection access data of different quality from wideband SAS systems. We illustrate the results with predictions for a generic SAS design and demonstrate the findings on two experimental systems. We observe that the maximum support of high-quality data is achieved through back projection on to a high resolution grid followed by wavenumber domain filtering.
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