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Proceedings Paper

Simultaneous multi-mission (SMM) in ground and airborne radars: system development tools and enabling technologies
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Paper Abstract

There is a significant need for portable, low-cost, and multi-functional ground and airborne radars. In some applications, the goal is to integrate multiple functions within a limited and constrained frequency band. For other applications, however, the challenge is how to support multiple missions that have been associated with separated frequency bands. This study considers the feasibility of two possible solutions for multifunction radar: the multi-band, agile frequency diversity radar, and a broad-band, common radar aperture. For either of the solutions, the goal is to find the optimal architectures and enabling technologies that support the integration of the following mission requirements: (1) automatic precise landing support, (2) counter-threat detection (such as counter-drone) in ground and airborne operations, (3) 3Daltitude- finding, (4) portable local weather surveillance. We investigated the basic requirements of each of these missions and summarized the trade analysis results. Next, we investigated the current enabling technologies for two proposed aperture options, especially regarding the design of radiating elements. Multiple antenna element designs were studied, which show promise for meeting multi-band or broadband aperture needs. A simulation verification based on the Phased Array System Simulator (PASIM) technology, which was jointly developed with MathWorks, is introduced. The simulation serves as a method to evaluate the quality of performance (QoP) of different radar missions that can be achieved with specific architectures. We investigated a mixed-signal transceiver and GPU-enabled backend software system that allows for the parallel execution of multiple radar missions through the same aperture.

Paper Details

Date Published: 3 May 2019
PDF: 11 pages
Proc. SPIE 11003, Radar Sensor Technology XXIII, 1100307 (3 May 2019); doi: 10.1117/12.2518430
Show Author Affiliations
Yan (Rockee) Zhang, Advanced Radar Research Ctr. (United States)
The Univ. of Oklahoma (United States)
Jorge Salazar Cerreno, Advanced Radar Research Ctr. (United States)
The Univ. of Oklahoma (United States)
Christopher Bassett, Air Force Research Lab. (United States)
Keith Kelly, Agile RF Systems, LLC (United States)

Published in SPIE Proceedings Vol. 11003:
Radar Sensor Technology XXIII
Kenneth I. Ranney; Armin Doerry, Editor(s)

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