Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Geoffrey A. Akers"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 51:203-216
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.
Publikováno v:
SSP
n/a
Autor:
Michael D. Archer, Geoffrey A. Akers
Airborne high frequency (HF) direction finding is difficult due to wavelengths on the order of the aircraft size resulting in inefficient apertures and limited azimuthal resolution. This research effort focuses arrays of magnetic field sensors in a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebecb9e5f472b94be03f27fb767cca59
https://zenodo.org/record/1265006
https://zenodo.org/record/1265006
Autor:
Geoffrey A. Akers, Clair F. Corbin
Publikováno v:
SPIE Proceedings.
The number of elements in a nonplanar antenna array, their respective farfield radiation patterns, the relative spacing between the elements, and the signal processing approach determine the angle-of-arrival (AOA) estimation performance for a directi
Publikováno v:
2012 IEEE National Aerospace and Electronics Conference (NAECON).
The MCWESS array is a 256-element, 16-channel phased array receiver which was recently built for research purposes in the Air Force Research Laboratory (AFRL) Sensors Directorate. Current research at AFIT includes signal processing techniques for ada
Autor:
Peter J. Collins, Richard M. Davis, Mark E. Oxley, Kristen Wallis, Alan Frazier, Andrew Terzuoli, Geoffrey A. Akers
Publikováno v:
IGARSS
A review of current signal analysis tools show that new techniques are required for an enhanced fidelity or data integrity. Recently, the Hilbert-Huang transform (HHT) and its inherent property, the Empirical Mode Decomposition (EMD) technique, have
Publikováno v:
IEEE Congress on Evolutionary Computation
This study applies the NSGA-II, SPEA2, and MOEA/D Multi-Objective Evolutionary Algorithms (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 resolu
Publikováno v:
2012 IEEE Radar Conference.
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 MOE
Autor:
T. Joel Thorson, Geoffrey A. Akers
Publikováno v:
2012 IEEE Radar Conference.
The Air Force Institute of Technology (AFIT) has developed an ultrawideband (UWB) random noise radar (RNR) that operates in the UHF band. The large fractional bandwidth and lack of phase coherency within the AFIT RNR necessitate an alternative to cla
Publikováno v:
IET International Conference on Radar Systems (Radar 2012).
The ultrawideband, random, continuous waveform generated by the Air Force Institute of Technology (AFIT) random noise radar (RNR) results in a sensing capability that is electromagnetically compatible with other radio frequency systems and has a low