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A new 3-D microwave imaging technique, based on compressive sensing, is proposed for use with sparse antenna arrays. It was designed to enable cost-effective 3-D imaging and tracking of people in an indoor environment. This algorithm is able to image both sparse and cluttered environments, through the use of wavelet transforms and compressive sensing techniques. The main advantage of the proposed...
A 2-D antenna array, coupled with the range-migration algorithm (RMA), enables 3-D microwave imaging of people and objects in a room. The choice of antenna array configuration, microwave transceiver components, and transmit power has a significant effect on both the energy consumed by the imaging system and the quality of the resulting images. A generic microwave imaging testbed was therefore built...
The effect of antenna array size, transmit power, component noise and other parameters on the performance of near-field microwave imaging algorithms is characterized. A large antenna array testbed was built to capture three-dimensional images of objects in the 17–20GHz band, and the quality of these images evaluated. The standard range-migration algorithm, the modified single-transmitter range-migration...
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