http://iet.metastore.ingenta.com
1887

Unified analysis of energy detectors with diversity reception in generalised fading channels

Unified analysis of energy detectors with diversity reception in generalised fading channels

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In this paper, the authors present a novel moment generating function-based technique to unify the performance evaluation of an average energy detector for detecting unknown deterministic signals over generalised fading environments (including the η-μ, κ-μ, α-μ, K, G and KG generalised fading distributions) with diversity reception. Specifically, the authors exploit a known exponential-type integral representation for the generalised Marcum Q-function Qv (a, b) that is valid for any ratio of a/b but for positive integer order v to greatly simplify the task of finding the statistical expectations over the fading signal-to-noise ratio random variables in the computation of the average detection probability metric. This new approach leads to a very compact and an elegant solution for many practical cases of interest including the independent but non-identically distributed fading statistics and/or arbitrarily correlated diversity branches in maximal-ratio combining, square-law combining and square-law selection diversity receivers. The authors’ numerical results also show that the performance of average energy detector is superior to the classical total energy detector with the increasing number of samples owing to the noise averaging effect. We have also demonstrated the versatility and utility of the proposed analytical framework to investigate the impact of dissimilar mean signal strengths, fading parameters, time-bandwidth product, diversity order and signal combining techniques on the receiver operating characteristics of diversity energy detectors in a myriad of fading environments that had heretofore resisted simple solutions.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
      • 6. Olabiyi, O., Annamalai, A.: ‘Performance evaluation of cooperative cognitive radio networks with data/decision fusion’. Proc. IEEE Military Comms. Conf., Baltimore, November 2011, pp. 973978.
    7. 7)
    8. 8)
      • 8. Atapattu, S., Tellambura, C., Jiang, H.: ‘Relay based cooperative spectrum sensing in cognitive radio networks’. Proc. IEEE Global Telecommunications Conf., 2009.
    9. 9)
      • 9. Olabiyi, O., Annamalai, A.: ‘Improved energy detectors with data/decision fusion of time-domain samples’. Proc. 2013 IEEE Int. Conf. on Connected Vehicles and Expo, Las Vegas, 2–6 December 2013.
    10. 10)
      • 10. Sarvanko, H., Mustonen, M., Hekkala, A., Mammela, A., Matinmikko, M., Katz, M.: ‘Cooperative and noncooperative spectrum sensing techniques using welch's periodogram in cognitive radios’. Proc. Int. Workshop on Cognitive Radio and Advanced Spectrum Management, 2008.
    11. 11)
    12. 12)
      • 12. Kostylev, V.I.: ‘Energy detection of a signal with random amplitude’. Proc. IEEE Int. Conf. on Communications, April–May 2002, vol. 3, pp. 16061610.
    13. 13)
      • 13. Digham, F., Alouni, M.S., Simon, M.K.: ‘On the energy detection of unknown signals over fading channels’. Proc. IEEE Int. Conf. on Communications, May 2003, vol. 5, pp. 35753579.
    14. 14)
    15. 15)
      • 15. Herath, S.P., Rajatheva, N., Tellambura, C.: ‘On the energy detection of unknown deterministic signal over Nakagami channels with selection combining’. Proc. IEEE CCECE'09, May 2009, Canada, pp. 745749.
    16. 16)
      • 16. Herath, S., Rajatheva, N.: ‘Analysis of equal gain combining in energy detection for cognitive radio over Nakagami channels’. Proc. IEEE Global Telecommunications Conf., December 2008.
    17. 17)
    18. 18)
      • 18. Herath, S., Rajatheva, N., Tellambura, C.: ‘Unified approach for energy detection of unknown deterministic signal in cognitive radio over fading channels’. Proc. IEEE Int. Conf. on Communications, June 2009, Germany.
    19. 19)
      • 19. Atapattu, S., Tellambura, C., Jiang, H.: ‘Energy detection of primary signals overημfading channel’. Proc. Int. Conf. on Industrial Information System, December 2009, pp. 118122.
    20. 20)
      • 20. Annamalai, A., Olabiyi, O., Alam, S., Odejide, O., Vaman, D.: ‘Unified analysis of energy detection of unknown signals over generalized fading channels’. Proc. IEEE Int. Wireless Communications and Mobile Computing, July 2011, Istanbul, pp. 636641.
    21. 21)
    22. 22)
    23. 23)
    24. 24)
      • 24. Yacoub, M.D.: ‘The ημ distribution: A general fading distribution’. Proc. IEEE Veh. Technol. Conf., 2000, pp. 872877.
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
      • 29. Simon, M.K., Alouini, M-S.: ‘Digital communication over fading channels’ (Wiley, New York, 2005, 2nd edn.).
    30. 30)
      • 30. Gradshteyn, I.S., Ryzhik, I.M.: ‘Table of integrals, series and products’ (Academic, San Diego, CA, 2000, 6th edn.).
    31. 31)
    32. 32)
    33. 33)
      • 33. Proakis, J.G.: ‘Digital communications’ (McGraw-Hill, 1995, 3rd edn.).
    34. 34)
      • 34. Olabiyi, O., Annamalai, A.: ‘Analysis of detection performance of modified periodogram over fading channels’. Proc. IEEE Consumer Communications and Networking Conf., January 2012, pp. 449453.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2014.0199
Loading

Related content

content/journals/10.1049/iet-com.2014.0199
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address