Book Description
This work investigates the impact of the near-field-to-far-field transformation (NFFFT) algorithm on phase history measurement collections completed in the Sensors and Signals Exploitation Laboratory (SSEL). SSEL is an indoor non-anechoic environ- ment that is at risk to some measurement interferences such as multiple bounces. Complete 360-degree phase history measurements of scale model aircraft are con- ducted at varying range values within the near-field limit. These measurements are calibrated with the Mie series scattering solution for a sphere. After calibration, the measurements are transformed using the NFFFT, with radar cross-section (RCS) estimated. RCS of the transformed data is compared with the RCS of the near-field calibrated, and also far-field calibrated data. Well-known imaging algorithms the polar format algorithm (PFA) and convolution back-projection algorithm are used to form SAR images of the targets. Agreement in RCS within 4 dBsm is shown be- tween the transformed data and far-field calibrated data, rather than the near-field calibrated data. The NFFFT algorithm is shown to be suitable for use in the SSEL measurement environment.