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DOA Tracking with Multi-Bernoulli Filter for Two-Parallel Linear Array: Reconstruct MUSIC as Pseudo-Likelihood

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Wireless Technology, Intelligent Network Technologies, Smart Services and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 258))

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Abstract

To solve the problem of the multi-sources direction-of-arrival (DOA) tracking by using two-parallel line arrays, a multi-target Multi-Bernoulli (MeMBer) filtering based on random finite set (RFS) is proposed. Unlike traditional DOA tracking algorithms, the number of sources in this paper is time-varying. The proposed method modifies and reconstructs the MUSIC pseudo-spectrum as its likelihood function, which greatly improves the weight of sampled particles in the high likelihood area. Two experimental simulation scenarios are provided. One is that the number of sources is fixed and known, and the other is that the number of sources is time-varying and unknown. Simulation results verify the effectiveness of the proposed method in estimating the number of time-varying sources and tracking their dynamics.

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References

  1. Kang, H.Y., Kim, Y.S., Chang, J.K.: Spatially close signals separation via array aperture expansions and spatial spectrum averaging. ETRI J. 26(1), 45–47 (2004)

    Google Scholar 

  2. Kedia, V.S., Chandna, B.: A new algorithm for 2-D DOA estimation. Signal Process. 60(3), 325–332 (1997)

    Google Scholar 

  3. Rajagopal, R., Rao, P.R.: Generalised algorithm for DOA estimation in a passive sonar. Radar Signal Process. IEE Proc. 140(1), 12–20 (1993)

    Google Scholar 

  4. Schmidt, R.O.: Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. 34(3), 276–280 (1986)

    Google Scholar 

  5. Kunda, D.: Modified MUSIC algorithm for estimating DOA of signal. Signal Process. 48(1), 85–90 (1996)

    Google Scholar 

  6. Roy, R., Kailath, T.: ESPRIT—estimation of signal parameters via rotational invariance techniques. IEEE Trans. ASSP 37(7), 984–995 (1986)

    Article  Google Scholar 

  7. Tayem, N., Kwon, H.M.: L-shape 2-dimensional arrival angle estimation with propagator method. IEEE Trans. Antennas Propag. 53(1), 1622–1630 (2005)

    Google Scholar 

  8. Yin, Q.Y., Newcomb, R.W., Zou, L.H.: Estimating 2-D angles of arrival via two parallel linear arrays. In: International Conference on Acoustics, Speech, and Signal Processing, Glasgow, UK, pp. 2803–2806 (1989)

    Google Scholar 

  9. Dai, X.R., Zhang, X.F., Wang, Y.F.: Extended DOA-matrix method for DOA estimation via two parallel linear arrays. IEEE Commun. Lett. 23(11), 1981–1984 (2019)

    Google Scholar 

  10. Li, J.F., Zhang, X., Chen, H.: Improved two-dimensional DOA estimation algorithm for two-parallel uniform linear arrays using propagator method. Signal Process. 92(12), 3032–3038 (2012)

    Google Scholar 

  11. Mahler, R.P.S.: Statistical Multisource-Multitarget Information Fusion. Artech House, Inc. (2007)

    Google Scholar 

  12. Vo, B.T., Clark, D., Vo, B.N., Ristic, B.: Bernoulli forward-backward smoothing for joint target detection and tracking. IEEE Trans. Signal Process. 59(9), 4473–4477 (2011)

    Google Scholar 

  13. Ristic, B., Vo, B.T., Vo, B.N., Farina, A.: A tutorial on Bernoulli filters: theory, implementation and applications. IEEE Trans. Signal Process. 61(13), 3406–3430 (2013)

    Google Scholar 

  14. Vo, B.T., Vo, B.N., Cantoni, A.: The cardinality balanced multi-target multi-bernoulli filter and its implementations. IEEE Trans. Signal Process. 57(2), 409–423 (2009)

    Google Scholar 

  15. Zhong, X.H., Premkumar, A.B.: Particle filtering approaches for multiple acoustic source detection and 2-D direction of arrival estimation using a single acoustic vector sensor. IEEE Trans. Signal Process. 60(9), 4719–4733 (2012)

    Google Scholar 

  16. Zhong, X.H., Premkumar, A.B., Madhukumar, A.S.: Particle filtering and posterior Cramér-Rao bound for 2-D direction of arrival tracking using an acoustic vector sensor. IEEE Sensors J. 12(2), 366–377 (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Electronic Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210000, China

    Xudong Dong, Xiaofei Zhang, Meng Sun & Jianfeng Li

  2. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Nanjing University of Aeronautics and Astronautics, Ministry of Industry and Information Technology, Nanjing, 211106, China

    Xiaofei Zhang

  3. College of Electronic and Information Engineering, Tongji University, Shanghai, 201800, China

    Jun Zhao

Authors
  1. Xudong Dong
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  2. Xiaofei Zhang
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  3. Jun Zhao
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  4. Meng Sun
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  5. Jianfeng Li
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Corresponding author

Correspondence to Xiaofei Zhang .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Broadway, NSW, Australia

    Lakhmi C. Jain

  2. Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

  3. Changsha Normal University, Changsha, China

    Bin Hu

  4. TK Engineering, Sofia, Bulgaria

    Roumiana Kountcheva

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Dong, X., Zhang, X., Zhao, J., Sun, M., Li, J. (2022). DOA Tracking with Multi-Bernoulli Filter for Two-Parallel Linear Array: Reconstruct MUSIC as Pseudo-Likelihood. In: Jain, L.C., Kountchev, R., Hu, B., Kountcheva, R. (eds) Wireless Technology, Intelligent Network Technologies, Smart Services and Applications. Smart Innovation, Systems and Technologies, vol 258. Springer, Singapore. https://doi.org/10.1007/978-981-16-5168-7_9

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  • DOI: https://doi.org/10.1007/978-981-16-5168-7_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-5167-0

  • Online ISBN: 978-981-16-5168-7

  • eBook Packages: EngineeringEngineering (R0)

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