Time domain synchronization using newman chirp training sequences in AWGN channels

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

10 Citations (Scopus)

Abstract

We propose a new time-domain simultaneous fractional frequency and sampling offsets estimation algorithm using the characteristics of down-sampled chirp training signals. The training sequence is composed of one up and one down chirp symbols. We also propose a new estimation algorithm to estimate the integer timing and frequency offsets in the time domain. The algorithms use the outputs of matched filters and autocorrelators. We present Monte Carlo simulations results in AWGN channels and show the good performance of our algorithm, especially for the integer timing; and frequency estimates compared to known methods. Indeed, we obtain perfect results for SNR of 5 dB and higher and normalized frequency offset smaller than 10, when no fractional offsets are present. The fractional timing and frequency estimator does not perform as well as known methods, but is much simpler to implement.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications, ICC 2005
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1147-1151
ISBN (Print)0-7803-8938-7
DOIs
Publication statusPublished - 2005
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Communications, ICC 2005 - Seoul, Korea, Democratic People's Republic of
Duration: 16 May 200520 May 2005

Publication series

Name
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications, ICC 2005
Abbreviated titleICC 2005
CountryKorea, Democratic People's Republic of
CitySeoul
Period16/05/0520/05/05

Fingerprint

Synchronization
Matched filters
Sampling

Keywords

  • AWGN channels
  • Peak to average power ratio
  • Autocorrelation
  • Frequency estimation
  • Timing
  • Chirp modulation
  • OFDM

Cite this

Boumard, S., & Mämmelä, A. (2005). Time domain synchronization using newman chirp training sequences in AWGN channels. In IEEE International Conference on Communications, ICC 2005 (pp. 1147-1151). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICC.2005.1494527
Boumard, Sandrine ; Mämmelä, Aarne. / Time domain synchronization using newman chirp training sequences in AWGN channels. IEEE International Conference on Communications, ICC 2005. Institute of Electrical and Electronic Engineers IEEE, 2005. pp. 1147-1151
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Boumard, S & Mämmelä, A 2005, Time domain synchronization using newman chirp training sequences in AWGN channels. in IEEE International Conference on Communications, ICC 2005. Institute of Electrical and Electronic Engineers IEEE, pp. 1147-1151, IEEE International Conference on Communications, ICC 2005, Seoul, Korea, Democratic People's Republic of, 16/05/05. https://doi.org/10.1109/ICC.2005.1494527

Time domain synchronization using newman chirp training sequences in AWGN channels. / Boumard, Sandrine; Mämmelä, Aarne.

IEEE International Conference on Communications, ICC 2005. Institute of Electrical and Electronic Engineers IEEE, 2005. p. 1147-1151.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Mämmelä, Aarne

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N2 - We propose a new time-domain simultaneous fractional frequency and sampling offsets estimation algorithm using the characteristics of down-sampled chirp training signals. The training sequence is composed of one up and one down chirp symbols. We also propose a new estimation algorithm to estimate the integer timing and frequency offsets in the time domain. The algorithms use the outputs of matched filters and autocorrelators. We present Monte Carlo simulations results in AWGN channels and show the good performance of our algorithm, especially for the integer timing; and frequency estimates compared to known methods. Indeed, we obtain perfect results for SNR of 5 dB and higher and normalized frequency offset smaller than 10, when no fractional offsets are present. The fractional timing and frequency estimator does not perform as well as known methods, but is much simpler to implement.

AB - We propose a new time-domain simultaneous fractional frequency and sampling offsets estimation algorithm using the characteristics of down-sampled chirp training signals. The training sequence is composed of one up and one down chirp symbols. We also propose a new estimation algorithm to estimate the integer timing and frequency offsets in the time domain. The algorithms use the outputs of matched filters and autocorrelators. We present Monte Carlo simulations results in AWGN channels and show the good performance of our algorithm, especially for the integer timing; and frequency estimates compared to known methods. Indeed, we obtain perfect results for SNR of 5 dB and higher and normalized frequency offset smaller than 10, when no fractional offsets are present. The fractional timing and frequency estimator does not perform as well as known methods, but is much simpler to implement.

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Boumard S, Mämmelä A. Time domain synchronization using newman chirp training sequences in AWGN channels. In IEEE International Conference on Communications, ICC 2005. Institute of Electrical and Electronic Engineers IEEE. 2005. p. 1147-1151 https://doi.org/10.1109/ICC.2005.1494527