Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

An Efficient FPGA Implementation for 2-D MUSIC Algorithm

  • Short Paper
  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

Multiple signal classification (MUSIC) algorithm is widely used in measuring the direction of arrival. In VLSI implementation of a two-dimensional MUSIC algorithm, the two primary modules, eigenvalue decomposition and spatial spectrum search, generally consume a significant hardware and cause long processing delay. Two novel design techniques: serial rotation angle broadcasting and multi-scale peak searching are introduced in this paper to mitigate these problems. An FPGA implementation is presented to demonstrate the efficiency of the proposed techniques. It only takes 1 ms for one set of 2-D direction estimation, and the deviations in elevation angle and azimuthal angle are both less than \(0.1^{\circ }\). The whole design is implemented in Xilinx’s Virtex-6 LX130T, which consumes about 60 % of the total resources of a single device.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. I. Bravo, P. Jiménez, M. Mazo, et al., Implementation in FPGAs of Jacobi method to solve the eigenvalue and eigenvector problem, IEEE FPL’06, pp. 1–4 (2006)

  2. R.P. Brent, F.T. Luk, C. Van Loan, Computation of the Singular Value Decomposition Using Mesh-Connected Processors (Cornell University, Ithaca, NY, 1982)

    MATH  Google Scholar 

  3. R.P. Brent, F.T. Luk, The solution of singular-value and symmetric eigenvalue problems on multiprocessor arrays. SIAM Journal on Scientific and Statistical Computing 6(1), 69–84 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  4. J. Chen, H. Ma, An accurate real-time algorithm for spectrum peaks search in 2D MUSIC. IEEE ICMT, 3385–3388 (2011)

  5. A.L. Parrado, J.V. Medina, Efficient systolic architecture for Hermitian eigenvalue problem, IEEE CWCAS, pp. 1–6 (2012)

  6. B. Porat, B. Friedlander, Analysis of the asymptotic relative efficiency of the MUSIC algorithm. IEEE Trans. Acoust. Speech Signal Process. 36(4), 532–544 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  7. Y. Sun, D. Zhang, P. Li et al., The studies and FPGA implementation of spectrum peak search in MUSIC algorithm, in 2014 International Conference on Anti-counterfeiting, Security, and Identification (ASID), pp. 1–5 (2014)

  8. T. Wang, P. Wei, Hardware efficient architectures of improved Jacobi method to solve the eigen problem, in IEEE ICCET, 2nd International Conference, vol. 6, pp. 22–25 (2010)

  9. Y. Xie, C. Peng, et al., Hardware design and implementation of DOA estimation algorithms for spherical array antennas, IEEE ICSPCC, pp. 219–233 (2014)

  10. D. Xu, Z. W. Liu, X. Qi, et al., A FPGA-based implementation of MUSIC for centrosymmetric circular array, IEEE ICSP, pp. 490–493 (2008)

  11. Z. Zou, H. Wang, G. Yu, An improved MUSIC algorithm implemented with high-speed parallel optimization for FPGA, IEEE ISAPE’06, pp. 1–4 (2006)

Download references

Acknowledgments

This work is jointly supported by the National Nature Science Foundation of China under Grant Nos. 61370040 and 61006018, the Project on the Integration of Industry, Education and Research of Jiangsu Province BY2015069-08, the Priority Academic Program Development of Jiangsu Higher Education Institutions and Open Project of State Key Laboratory of ASIC & System (Fudan University) 12KF006.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jin Sha.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, K., Sha, J., Shi, W. et al. An Efficient FPGA Implementation for 2-D MUSIC Algorithm. Circuits Syst Signal Process 35, 1795–1805 (2016). https://doi.org/10.1007/s00034-015-0144-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-015-0144-z

Keywords