Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

The Cost Optimization Solution for Developing the Image Infra-Red (IIR) Missile Seeker Operated Under Various Environments

정밀 유도무기용 적외선 영상탐색기의 운용환경에 따른 성능대비 개발비용 최적화 연구

  • Received : 2019.03.08
  • Accepted : 2019.03.18
  • Published : 2019.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

An Image Infra-Red(IIR) seeker is widely used for precision guided munitions to provide intelligent and precise target detection in terms of high kill probability. However, there have been issues in determining the performance versus cost trade-offs due to high cost of seeker comparing to other units of the munitions. In this paper, performance/cost evaluations have been carried out to find the most cost-effective solution for developing the IIR seekers. The relationships between the critical parameters and cost are investigated to determine the optimal point which represents the low cost with high performance. It is expected that the presented approach will be able to be used for guidelines to select the appropriate IIR seeker for the given operating conditions and can be useful to estimate the cost effectiveness of the precision guided munitions at early design stage.

본 논문은 정밀 유도무기에 장착되어 목표물 명중 확률을 좌우하고, 비용적인 측면에서 유도무기의 가장 큰 부분을 차지하는 적외선 영상탐색기에 대한 성능 대비 개발비용 최적화에 대한 연구이다. 탐색기 개발 비용의 주요항목인 해상도와 그에 따른 탐지성능에 영향을 미치는 인자들을 분석함으로써, 설계 단계에서 해상도 별 탐지성능과 개발 비용과의 상관관계를 분석하는 연구를 수행하였다. 다양한 신호 대 클러터 비 조건에서 해상도 별 표적탐지 확률을 설계 시 중요인자로 정의하고, 개발비용 선정의 기준이 되는 해상도 별 탐지성능 분석을 수행하였으며, 탐지성능 확보를 위한 최적의 해상도와 그에 따른 투입비용에 대한 관계를 도출하였다. 다양한 클러터 환경에 따른 사례연구를 통하여 제안한 분석 방식이 탐지성능 만족을 위하여 요구되는 개발비용 예측에 효과적임을 검증하였으며, 유도무기 운용 환경에서 성능대비 최적화된 개발비용을 설계단계에서 미리 도출할 수 있는 연구 자료로 활용하고자 한다.

Keywords

HOJBC0_2019_v23n4_365_f0001.png 이미지

Fig. 1 Guidance Concept of Missile

HOJBC0_2019_v23n4_365_f0002.png 이미지

Fig. 2 Schematic Diagram of Image IR Seeker

HOJBC0_2019_v23n4_365_f0003.png 이미지

Fig. 3 Image Flow Chart of Image IR Seeker

HOJBC0_2019_v23n4_365_f0004.png 이미지

Fig. 4 Detection probabilities corresponding to each Image resolution (for different SCR conditions)

HOJBC0_2019_v23n4_365_f0005.png 이미지

Fig. 5 Detection probabilities corresponding to each SCR condition (for different Image resolutions)

HOJBC0_2019_v23n4_365_f0006.png 이미지

Fig. 6 SCR corresponding to each Image resolution (for detection probability (PD) of 50% and 90% cases)

HOJBC0_2019_v23n4_365_f0007.png 이미지

Fig. 7 Detection probabilies at generalized Low, Moderate, and High clutter conditions

Table. 1 Detection probabilities and Image resolutions at different SCR conditions

HOJBC0_2019_v23n4_365_t0001.png 이미지

Table. 2 Relationship between performance and cost factors at generalized clutter conditions

HOJBC0_2019_v23n4_365_t0002.png 이미지

References

  1. S. Kim, and J. Lee, "Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track," Pattern Recognition, vol. 45, Issue 1, pp. 393-406, Jan. 2012. https://doi.org/10.1016/j.patcog.2011.06.009
  2. W. H. Licata, "Missile Seekers for Strike Warfare beyond the Year 2000," Lecture on Technology for Future Precision Strike Missile Systems, Tbilisi, Georgia, 2001.
  3. P. L. Cross, and M. Mulford, "Realizing collaborative systems design for missile seekers by combining design margin analysis with multi-disciplinary optimization," Concurrent Engineering: Research and Applications, vol. 23, Issue 3, pp. 226-235, 2015. https://doi.org/10.1177/1063293X15586837
  4. Y. U. Lee, "A study on the Seeker Technology in Guided Weapon System," Journal of Information and Security, vol. 8, no. 2, pp. 103-109, Jun. 2008.
  5. G. Katulka, D. Lyon, F. Fresconi, D. Petrick, and T.G Horwath, "Development and Characterization of Low Cost Seeker Technology for US Army Applications," 26th US Army Science Conference, Dec. 2008.
  6. D. A. Huckridge, and R. R. Ebert, "Electro-Optical and Infrared Systems: Technology and Applications VIII," Proc. of SPIE, vol. 8185 81850A-1-10, Dec. 2017.
  7. R. Fraenkel, J. Haski, U. Mizrahi, L. Shkedy, I. Shtrichman, and E. Pinsky, "Cooled and uncooled infrared detectors for missile seekers," Proc. of SPIE, vol. 9070, Infrared Technology and Applications XL, 90700P-1-10, Jun. 2014.
  8. G. M. Koretsky, M. S. Taylor, and J. F. Nicoll, "A Tutorial on Electro Optical/Infrared (EO/IR) Theory and Systems," Institute for Defense Analyses, pp. 15-19, Jan. 2013.
  9. J. Hu, Z. Xu, and Q. Wan, "Non-uniformity correction of infrared focal plane array in point target surveillance systems," Infrared Physics & Technology, vol. 66, pp. 56-69, Jul. 2014. https://doi.org/10.1016/j.infrared.2014.05.012
  10. T. A. Sjaardema, C. S. Smith, and G. C. Birch, "History and Evolution of the Johnson Criteria," Sandia National Laboratories, SAND2015-6368, CA, U.S.A, Jul. 2015.
  11. S. Kim, and J. Lee, "Small infrared target detection by region-adaptive clutter rejection for sea-based infrared search and track," Sensors (Basel), vol. 14, no. 7, pp. 13210-42, Jul. 2014. https://doi.org/10.3390/s140713210
  12. M. R. Weathersby, and D. E. Schmieder, "An Experiment Quantifying The Effect Of Clutter On Target Detection," Proc. SPIE 0510, Infrared Technology X, pp. 26-33, Jan. 1985.