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Multisensor Bias Estimation with Serial Fusion for Asynchronous Sensors

순차적 정보융합을 이용한 비동기 다중 레이더 환경에서의 바이어스 추정기법

  • Received : 2012.05.09
  • Accepted : 2012.08.24
  • Published : 2012.10.05

Abstract

This paper presents a sensor bias estimation method with serial fusion for asynchronous multisensory systems. Serial fusion processes the sensor measurements in a first-come-first-serve basis and it plays an essential role in asynchronous fusion in practice. The proposed algorithm generates the bias measurements using fusion estimates and sensor measurements for bias estimation, and compensates the sensor biases in fusion tracks. A simulation study indicates that the proposed algorithm has the superior performance in bias estimation and accurate tracking.

Keywords

Acknowledgement

Supported by : 건설교통부

References

  1. Qiang Gan and Chris J. Harris, "Comparison of Two Measurement Fusion Methods for Kalman-Filter- Based Multisensor Data Fusion", IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 1, pp. 273-280, 2001. 1. https://doi.org/10.1109/7.913685
  2. K. C. Chang, Tian Zhi and R. K. Saha, "Performance Evaluation of Track Fusion with Information Matrix Filter", IEEE Transactions on Aerospace and Electronic Systems, Vol. 38, No. 2, pp. 455-466, 2002. 4. https://doi.org/10.1109/TAES.2002.1008979
  3. K. C. Chang, R. K. Saha and Y. Bar-shalom, "On Optimal Track-to-Track Fusion", IEEE Transactions on Aerospace and Electronic Systems, Vol. 33, No. 4, pp. 1271-1276, 1997. 10. https://doi.org/10.1109/7.625124
  4. Lucy Y. Pao and Christian W. Frei, "A Comparison of Parallel and Sequential Implementations of a Multisensor Multitarget Tracking Algorithm", America Control Conference Seattle, Washington, 1995. 6.
  5. A. T. Alouani and T. R. Rice, "On Optimal Synchronous and Asynchronous Track Fusion", SPIE, Opt. Eng., Vol. 37, Issue 2, pp. 427-433, 1998. 2.
  6. YANYAN HU, ZHANSHENG DUAN, DONGHUA ZHOU, "Estimation Fusion with General Asynchronous Multi-Rate Sensors", IEEE Trans. Aerospace and Electronic Systems, Vol. 46, No. 4, pp. 2090-2102, 2010. 10. https://doi.org/10.1109/TAES.2010.5595618
  7. Friedland, B., "Treatment of Bias in Recursive Filtering", IEEE Transactions on Automatic Control, AC-140, 1969. 8.
  8. Ignagni, M. B., "An Alternate Derivation and Extension of Friendland's Two-Stage Kalman Estimator", IEEE Trans. on Automatic Control, AC-26, 3, 1981. 6.
  9. Xiangdong Lin, Bar-Shalom, Y, Kirubarajan, T., "Exact Multisensor Dynamic Bias Estimation with Local Tracks", IEEE Transactions on Aerospace and Electronic Systems, Vol. 40, No. 2, pp. 576-590, 2004. 4. https://doi.org/10.1109/TAES.2004.1310006
  10. Xiangdong Lin, Bar-Shalom, Y, Kirubarajan, T., "Multisensor-Multitarget Bias Estimation for General Asynchronous Sensors", IEEE Transactions on Aerospace and Electronic Systems, Vol. 41, No. 3, pp. 899-921, 2005. 7. https://doi.org/10.1109/TAES.2005.1541438
  11. 김형원, 김도형, 박효달, 송택렬, "Multisensor Bias Estimation with Pseudo Measurement for Asynchronous Sensors", 한국군사과학기술학회지 제14권 제6호, pp. 1198-1206, 2011. 12.
  12. Man Ying, Huang Jiang-yuan, Yu Zhi-hui, "3D Asynchronous Multisensor Target Tracking Performance with Bias Compensation", International Conference on Computer Engineering and Technology, Vol. 5, pp. 401-406, 2010. 4.