Strategies for reducing SWAP-C and complexity in DVE sensor systems

Robert C. Allen; W. Brendan Blanton; Erich Schramm; Rajib Mitra

doi:10.1117/12.2262569

5 May 2017 Strategies for reducing SWAP-C and complexity in DVE sensor systems

Robert C. Allen, W. Brendan Blanton, Erich Schramm, Rajib Mitra

Proceedings Volume 10197, Degraded Environments: Sensing, Processing, and Display 2017; 101970M (2017) https://doi.org/10.1117/12.2262569
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

The solution space to the DVE sensor problem can be considered to be a continuum where the goal is to minimize Size, Weight, Power, Cost (SWAP-C), and complexity while simultaneously maximizing performance. Performance is often achieved at the expense of SWAP-C and complexity. The core DVE sensor system technologies can be grouped into three broad areas: (1) sensors (e.g., LiDAR, radar, or imaging); (2) data processing such as fusion or sensor processing; and (3) synthetic vision, and symbology. Much of the body of DVE sensor research has focused on advancing the current state of the art in one or more of these particular areas, such as advanced sensing and/or data processing technologies. However, often the difficulties of integrating such a DVE technology into an aircraft and obtaining the proper hardware/software certification(s) for flight are not considered. Both of these adversely impact SWAP-C and complexity. In this paper we examine the solution space to the DVE sensor problem, identify the key drivers for SWAP-C and complexity, and present strategies for their mitigation.

Citation Download Citation

Robert C. Allen, W. Brendan Blanton, Erich Schramm, and Rajib Mitra "Strategies for reducing SWAP-C and complexity in DVE sensor systems", Proc. SPIE 10197, Degraded Environments: Sensing, Processing, and Display 2017, 101970M (5 May 2017); https://doi.org/10.1117/12.2262569

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