An active sensor imaging for dense target environments

Abstract

Target density functions are the fundamental tools that map the reflectivity distribution by processing backscatter radar data. Radar imaging systems frequently employ these forms of functions to extract meaningful data from more complicated signal space. In this paper, an outline and a coherent reconstruction method for a newly defined target density function for radar imaging are presented. The studied approach is based on the fact that the geometry of the radar processing benefits from angular scanning along the cross-range. The proposed frame is available to be used with phased array radar systems as well as applied to various radar problems. Hypothetical background and step-by-step derivation of the mathematical model are discussed. Comparison with other conventional radar imaging methods and strength of the new method is emphasized, an implementation using simulated unprocessed data is achieved, outcomes are discussed in terms of benefits and finally the future work is given. The results promise simplicity and speed, as well as providing a new method to radar imaging.