Abstract
Aperture synthesis (AS) passive imaging technique has been proven effective in remote sensing for high resolution. Generally, a synthetic aperture radiometer needs the same number of channels as the antennas. As a consequence, the system complexity, volume, and cost increase rapidly as the size of the array expands. In this letter, the channel compressive AS (CCAS) method is proposed to reduce the receiver channels and correlators. Every channel connects to several different antennas by a selected connection network, and the visibilities are rebuilt from the cross correlation between output signals of the channels. Also, the principles of choosing connection network are discussed to guarantee the performance of the reconstructed brightness temperature (BT) images. Simulation results have shown the validation of the proposed method. It is of great application potential for very large-scale array in the future.
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