No abstract

This paper provides a resource management (RM) framework for electronic support (ES) receivers. The resource manager estimates the number of interference signals and the bandwidths of each interference signal in the electromagnetic (EM) environment. Environment estimates are used to select an appropriate adaptive digital beamforming (DBF) algorithm from a predefined look-up table (LUT) of adaptive DBF algorithms. Algorithms are selected from the LUT based on their ability to increase the signal-to-interference plus noise level of the desired signal by a desired amount; the algorithms are also selected based upon their computational complexity. A study of the resource manager computational complexity demonstrates that applying the new architecture does not increase the receiver computational complexity above standard ES receivers. The resulting adaptive receiver is capable of operating with reduced computational loading over standard support receivers. The framework allows for the use of a single receiver for both narrowband and wideband operation without imposing unrequited computational complexity in the narrowband environments.

Abstract-Solving complex real world Multi-Objective Optimization problems is the forte of Multi-Objective Evolutionary Algorithms (MOEA). Such algorithms have been part of many scientific and engineering endeavors. This study applies the NSGA-II and SPEA2 MOEAs to the radar phase coded waveform design problem. The MOEAs are used to generate a series of radar waveform phase codes that have excellent range resolution and Doppler resolution capabilities. The study compares the ability of NSGA-II and SPEA2 to continually evolve (phase code) solutions on the Pareto front for the problem while maintaining a diversity of solutions (phase codes). Results demonstrate that for the radar phase code problem NSGA-II provides a more diverse population of acceptable solutions and therefore a greater number of different viable phase codes when compared to the solutions provided by SPEA2

No abstract

Traditional radar propagation modeling is done using a path transmittance with little to no input for weather and atmospheric conditions. As radar advances into the millimeter wave (MMW) regime, atmospheric effects such as attenuation and refraction become more pronounced than at traditional radar wavelengths. The DoD High Energy Laser Joint Technology Offices High Energy Laser End-to-End Operational Simulation (HELEEOS) in combination with the Laser Environmental Effects Definition and Reference (LEEDR) code have shown great promise simulating atmospheric effects on laser propagation. Indeed, the LEEDR radiative transfer code has been validated in the UV through RF. Our research attempts to apply these models to characterize the far field radar pattern in three dimensions as a signal propagates from an antenna towards a point in space. Furthermore, we do so using realistic three dimensional atmospheric profiles. The results from these simulations are compared to those from traditional radar propagation software packages. In summary, a fast running method has been investigated which can be incorporated into computational models to enhance understanding and prediction of MMW propagation through various atmospheric and weather conditions.