Robust decision making method for adaptive ordered-statistics CFAR technique using information elasticity

Andrew Z. Liu, Ram Mohan Narayanan, Muralidhar Rangaswamy

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

Abstract

Some performance characteristics of ordered-statistics CFAR (OS-CFAR), such as probability of false alarm (PFA) and probability of detection (PD), are controlled by many parameters. Some of these parameters can be considered decision parameters, since they are user defined to achieve a fixed PFA, and an optimized PD. However, other parameters that control these probabilities have the tendency to fluctuate based on the radar environment and operating conditions. These environmental variables can sometimes be difficult to predict and may affect performance. In this paper, a robust decision making method is presented, which selects decision parameters that provide robust performance even in the presence of these variations. The relevant environmental variables investigated in this paper are the number of interfering targets within the detection window and the signal-to-noise ratio (SNR). The Forward Automatic Order Selection Ordered Statistics Detector (FAOSOSD) is used to provide an estimate for the number of interfering targets, and the accuracy of this estimate is observed as a function of SNR. The proposed method defines a performance metric and observes its mean and variance over the uncertain parameter SNR. A trade-off behavior is shown between this mean and variance, and using information elasticity analysis, a decision is selected.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XXIII
EditorsKenneth I. Ranney, Armin Doerry
PublisherSPIE
ISBN (Electronic)9781510626713
DOIs
StatePublished - Jan 1 2019
EventRadar Sensor Technology XXIII 2019 - Baltimore, United States
Duration: Apr 15 2019Apr 17 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11003
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRadar Sensor Technology XXIII 2019
CountryUnited States
CityBaltimore
Period4/15/194/17/19

Fingerprint

decision making
Elasticity
elastic properties
Decision making
Decision Making
Statistics
statistics
Probability of Detection
False Alarm
Signal to noise ratio
signal to noise ratios
false alarms
Order Selection
Target
Robust Performance
Uncertain Parameters
Performance Metrics
Estimate
Control Parameter
Radar

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Liu, A. Z., Narayanan, R. M., & Rangaswamy, M. (2019). Robust decision making method for adaptive ordered-statistics CFAR technique using information elasticity. In K. I. Ranney, & A. Doerry (Eds.), Radar Sensor Technology XXIII [1100308] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003). SPIE. https://doi.org/10.1117/12.2519677
Liu, Andrew Z. ; Narayanan, Ram Mohan ; Rangaswamy, Muralidhar. / Robust decision making method for adaptive ordered-statistics CFAR technique using information elasticity. Radar Sensor Technology XXIII. editor / Kenneth I. Ranney ; Armin Doerry. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
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Liu, AZ, Narayanan, RM & Rangaswamy, M 2019, Robust decision making method for adaptive ordered-statistics CFAR technique using information elasticity. in KI Ranney & A Doerry (eds), Radar Sensor Technology XXIII., 1100308, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11003, SPIE, Radar Sensor Technology XXIII 2019, Baltimore, United States, 4/15/19. https://doi.org/10.1117/12.2519677

Robust decision making method for adaptive ordered-statistics CFAR technique using information elasticity. / Liu, Andrew Z.; Narayanan, Ram Mohan; Rangaswamy, Muralidhar.

Radar Sensor Technology XXIII. ed. / Kenneth I. Ranney; Armin Doerry. SPIE, 2019. 1100308 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11003).

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

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Liu AZ, Narayanan RM, Rangaswamy M. Robust decision making method for adaptive ordered-statistics CFAR technique using information elasticity. In Ranney KI, Doerry A, editors, Radar Sensor Technology XXIII. SPIE. 2019. 1100308. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2519677