Don L. Cannon
President & CEO
Mr. Cannon has more than 20 years of professional experience in the areas of communication system modeling, RF engineering, radar imaging algorithm development, modeling and simulation of synthetic aperture radar, radar cross section analysis and network engineering support. His experience includes wireless and network communication modeling of wide area networks.
Mr. Cannon’s experience also includes inverse synthetic aperture radar imaging analysis and development support, bi-static imaging analysis support, digital signal processing, performing radar cross section predictions and analysis using physical optics, and developing a vast variety of computer simulations to simulate radars scattering effects, detection performance, and autofocus capabilities using various proprietary algorithms.
His software development experience includes the analysis, design, development, and maintenance of radar/communication system models, simulation programs, post processing of radar imagery data, and data analysis of various data files. Mr. Cannon is subject matter expert in the area of Opnet network model development used in performing predictive analysis, trending, and linear regression of large scale wide area networks.
Mr. Cannon’s experience also includes inverse synthetic aperture radar imaging analysis and development support, bi-static imaging analysis support, digital signal processing, performing radar cross section predictions and analysis using physical optics, and developing a vast variety of computer simulations to simulate radars scattering effects, detection performance, and autofocus capabilities using various proprietary algorithms.
His software development experience includes the analysis, design, development, and maintenance of radar/communication system models, simulation programs, post processing of radar imagery data, and data analysis of various data files. Mr. Cannon is subject matter expert in the area of Opnet network model development used in performing predictive analysis, trending, and linear regression of large scale wide area networks.