Language-based cost functions for fully adaptive radar under imprecise performance standards

Paul G. Singerman, Sean M. O'Rourke, Ram M. Narayanan, Muralidhar Rangaswamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is a push to create radar systems that optimize their own performance in real-time. In order to accomplish this, the performance standards of the radar system must be known. Often, this is given in imprecise, natural language statements describing the goals and requirements of the radar system by individuals in charge of the “big picture.” In this paper, we use a previously developed method called language-based cost functions (LBCFs) to optimize the performance of a fully adaptive radar target tracker when performance standards are given by vague statements in natural language. This is followed by a catch-all stochastic algorithm to find relaxed, time efficient solutions. The full method is then tested on a basic simulation of a human running. Results show that the combination of LBCFs and the optimization algorithm allow the radar to far outperform a classical non-adaptive radar. Results also show that the specific optimization algorithm used impacts the radar's ability to find satisfactory solutions which in turn dramatically alters the tracker's performance.

Original languageEnglish (US)
Title of host publication2020 IEEE International Radar Conference, RADAR 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages810-815
Number of pages6
ISBN (Electronic)9781728168128
DOIs
StatePublished - Apr 2020
Event2020 IEEE International Radar Conference, RADAR 2020 - Washington, United States
Duration: Apr 28 2020Apr 30 2020

Publication series

Name2020 IEEE International Radar Conference, RADAR 2020

Conference

Conference2020 IEEE International Radar Conference, RADAR 2020
CountryUnited States
CityWashington
Period4/28/204/30/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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