다중 소나센서 추적정보의 바이어스 해석 및 보상 기법

다국어 초록 (Multilingual Abstract)

Submarine sonar system estimates the bearings and ranges of targets using FAS(Flank Array Sonar) and PRS(Passive Ranging Sonar) which are called reference sensors, and fuses the tracking informations of CAS(Cylindrical Array Sonar) and TAS(Towed Array Sonar), which are called auxiliary sensors, in order to achieve more reliable target information. However, there is a little bias in the tracking information of auxiliary sensors which must be compensated before fusion. In this paper, we analysed the bias theoretically and examined the amplitude of bias according to bearing and range. The amplitude of bias is largest at the broadside direction, and the closer target range is, the larger the amplitude of bias is. We also proposed the bias compensation technique based on the analyzed bias function.

참고문헌 (Reference)

1 J. Hurka., "Sonar Track Manager" 1-10, 2007

2 R. O. Nielsen, "Sonar Signal Processing" Artech House 231-258, 1991

3 P. Shar., "Some Considerations of Submarine Sensor Fusion" 2 : 930-936, 1998

4 Pailon Shar., "Passive Sonar Fusion for Submarine C2 Systems" 15 (15): 29-34, 2000

5 X. R. Li., "Optimal Linear Estimation Fusion-Part I : Unified Fusion Rules" 49 (49): 2192-2208, 2003

6 X. D. Lin., "Multisensor-multitarget Bias estimation for general asynchronous sensors" 41 (41): 899-921, 2005

7 X. Lin., "Multisensor Target Tracking Performance with Bias Compensation" 42 (42): 1139-1149, 2006

8 M. E. Liggins II., "Distributed Fusion Architectures and Algorithms for Target Tracking" 85 (85): 95-107, 1997

9 J. C. Hassab, "Contact Localization and Motion Analysis in Ocean Environment : A Perspective" OE-8 (OE-8): 136-147, 1983

10 C. Y. Chong., "Architectures and Algorithms for Track Association and Fusion" 5-13, 2000