MIMO imaging algorithm for single-frequency data processing based on bi-static range migration

A bi-static range migration algorithm for 2-D multiple input multiple output imaging for single-frequency data processing is investigated in this paper. On the basis of considering the near field electromagnetic wave attenuation, the imaging algorithm formulae are deduced in detail by applying the Method of Stationary Phase strictly which leads to a key filter factor for 2-D single-frequency imaging algorithm as a consequence. Image can be focused or not depends on a Phase item of the filter factor while it is influenced by amplitude item slightly which can be ignored under certain conditions. In order to verify the performance of the algorithm, a simple 2-D sparse array is designed for the imaging experiments in a complex electromagnetic environment. The focusing results are excellent which shows that the MIMO imaging algorithm discussed in this paper can be used for short-range, high-resolution and real-time imaging system.