iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://unpaywall.org/10.1007/S11277-019-06330-0
Performance Analysis of a Differential-Correlation Based Burst Detection Method | Wireless Personal Communications Skip to main content
Springer Nature Link
Log in

Performance Analysis of a Differential-Correlation Based Burst Detection Method

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Burst detection is an initial step for burst-mode demodulation. The theoretical performance of a differential-correlation based burst detection (DCBD) method is analyzed. The expressions of miss detection probability and false alarm probability (FAP) of this method are derived. The FAP arisen from message signals are also considered and proved to be close to the FAP arisen from noise signals, which is not covered in other similar works. Based on the theoretical analysis, the properties of the detection method are concluded. Both the analytical analysis and the simulation results show that DCBD is robust to frequency offset and is a CFAR method. Furthermore, the detection threshold is independent of the signal amplitude. These properties indicate that DCBD is very proper and practical for burst detection. The analytical results also give references how the threshold should be set to meet the system performance requirements for various signal conditions.

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

Access this article

Log in via an institution

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Massey, J. L. (1972). Optimum frame synchronization. IEEE Transactions on Communications, 20(1), 115–119.

    Article  Google Scholar 

  2. Robertson, P. (1992). Maximum likelihood frame synchronization for flat fading channels. In IEEE international conference on communications (pp. 1426–1430).

  3. Gang, S., Peng, K., Gong, K., et al. (2008). Robust frame synchronization for Chinese DTTB system. IEEE Transactions on Broadcasting, 54(1), 152–158.

    Article  Google Scholar 

  4. Choi, Z. Y., & Lee, Y. H. (1999). On the use of double correlation for frame synchronization in the presence of frequency offset. In IEEE international conference on communications (pp. 958–962).

  5. Shi, M., Bar-Ness, Y., & Yoon, S. (2007). A novel frame synchronization method using correlation between permuted sequences. In IEEE wireless communications and networking conference (pp. 2446–2451).

  6. Rice, M., & Mcmurdie, A. (2017). On frame synchronization in aeronautical telemetry. IEEE Transactions on Aerospace and Electronic Systems, 52(5), 2263–2280.

    Article  Google Scholar 

  7. Soleymani, M. R., & Girard, H. (1992). The effect of the frequency offset on the probability of miss in a packet modern using CFAR detection method. IEEE Transactions on Communications, 40, 1205–1211.

    Article  MATH  Google Scholar 

  8. Kim, I. K., & Sung, W. (1998). Comparisons of CFAR burst detection schemes for TDMA systems employing constant modulus modulation format. In IEEE military communications conference (pp. 360–364).

  9. Huang, Y. L., Lu, Y. R., & Yuan, Q. (2010). Robust burst detection based on the average likelihood ratio test. Journal of Electronics and Information Technology, 32(2), 345–349.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China

    Feng Guo, Wanggen Wan & Xiaoqing Yu

  2. School of Information Science and Engineering, Linyi University, Linyi, 276000, China

    Feng Guo

  3. Institute of Smart City, Shanghai University, Shanghai, 200444, China

    Feng Guo, Wanggen Wan & Xiaoqing Yu

Authors
  1. Feng Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wanggen Wan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiaoqing Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Feng Guo.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest regarding the publication of this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, F., Wan, W. & Yu, X. Performance Analysis of a Differential-Correlation Based Burst Detection Method. Wireless Pers Commun 107, 1171–1186 (2019). https://doi.org/10.1007/s11277-019-06330-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06330-0

Keywords

Search

Navigation