Skip to main content
SpringerLink
Log in

Performance Estimation of Adaptive Beamforming Algorithms in Smart Antennas

  • Conference paper
  • First Online:
Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 624))

  • 3140 Accesses

Abstract

Adaptive antenna also known as smart antenna is a combination of antenna array with digital signal processor. It optimizes the beam pattern of antenna array according to the changing electromagnetic environment. The two key signal processing approaches of adaptive antenna are identification of spatial signature of incoming signals and adaptive beamforming (ABF). The behavior of three different beamforming algorithms, i.e., conjugate gradient algorithm (CGA), affine projection algorithm (APA), and quasi-Newton algorithm (QNA), are analyzed in terms of their beam pattern characteristics and their convergence rate. The results obtained in the simulations show that CGA has greater null depth and has fastest convergence rate among all the three algorithms.

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

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Sharma, A., Mathur, S.: Performance Analysis of Adaptive Array Signal Processing Algorithms. IETE Technical Review, vol. 33, no. 5, pp. 472–491 (2016).

    Google Scholar 

  2. Sharma, A., Mathur, S.: Deterministic maximum likelihood direction of arrival estimation using GSA. International Conference on Electrical, Electronics, and Optimization Techniques, pp. 415–419 (2016).

    Google Scholar 

  3. Gross, F. B.: Smart Antennas for Wireless Communications, McGraw-Hill (2005).

    Google Scholar 

  4. Saxena, P., Kothari, A. G.: Performance analysis of adaptive beamforming algorithms for smart antennas. IERI Procedia, 10, pp. 131–137 (2014).

    Google Scholar 

  5. Balanis, C. A., Ioannides, P. I.: Introduction to smart antennas. Synthesis Lectures on Antennas, vol. 2, no. 1, pp. 1–175 (2007).

    Google Scholar 

  6. De Campos, M. L., Antoniou, A.: A new quasi-Newton adaptive filtering algorithm. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 44, no. 11, pp. 924–934 (1997).

    Google Scholar 

  7. Gay, S. L.: The fast affine projection algorithm. In Acoustic signal processing for telecommunication, pp. 23–45. Springer US (2007).

    Google Scholar 

  8. Sankaran, S. G., Beex, A. L.: Convergence behavior of affine projection algorithms. IEEE Transactions on Signal Processing, vol. 48, no. 4, pp. 1086–1096 (2000).

    Google Scholar 

  9. Choi, S.: Application of conjugate gradient method for optimum array processing. Progress In Electromagnetics Research, 5, pp. 589–624 (1991).

    Google Scholar 

  10. Choi, S., Sarkar, T. K.: Adaptive antenna array utilizing the conjugate gradient method for multipath mobile communication. Signal processing, vol. 29, no. 3, pp. 319–333 (1992).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of EIC, UPES, Dehradun, Uttarakhand, India

    R. Gowri & Abhinav Sharma

  2. Department of ECE, College of Technology, GBPUA&T, Pantnagar, India

    Sanjay Mathur

Authors
  1. R. Gowri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abhinav Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sanjay Mathur
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. Gowri .

Editor information

Editors and Affiliations

  1. Institute of Robotics Technology (R&D), University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Rajesh Singh

  2. Department of Electronics & Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

  3. Department of Electronics & Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Anita Gehlot

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gowri, R., Sharma, A., Mathur, S. (2018). Performance Estimation of Adaptive Beamforming Algorithms in Smart Antennas. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_115

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5903-2_115

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5902-5

  • Online ISBN: 978-981-10-5903-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation