ABSTRACT
This chapter discusses fast imaging acquisition schemes, using reduced data volume. It presents two approaches for fast data acquisitions. The first approach calls for strategies in the random selection of frequencies and antennas, but applies beamforming or backprojection scheme that would deal with fewer data. Regular image formation methods, such as beamforming, can then be implemented based on the recovered data samples, as if they were physically collected. The second approach implements compressive sensing (CS) for decreasing the number of samples and, subsequently, reducing the data acquisition and post-processing time. CS is an emerging and powerful signal processing tool that has found broad applications in two- and three-dimensional imaging, specifically dealing with complex images arising in medical, industrial, and defence sectors. The chapter also discusses CS and also focuses on operating with time pulse rather than frequency steps.
