Time domain synchronization using newman chirp training sequences in AWGN channels

Sandrine Boumard; Aarne Mämmelä

doi:10.1109/ICC.2005.1494527

Time domain synchronization using newman chirp training sequences in AWGN channels

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

13 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 language	English
Title of host publication	IEEE International Conference on Communications, ICC 2005
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1147-1151
ISBN (Print)	0-7803-8938-7
DOIs	https://doi.org/10.1109/ICC.2005.1494527
Publication status	Published - 2005
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Communications, ICC 2005 - Seoul, Korea, Democratic People's Republic of Duration: 16 May 2005 → 20 May 2005

Conference

Conference	IEEE International Conference on Communications, ICC 2005
Abbreviated title	ICC 2005
Country	Korea, Democratic People's Republic of
City	Seoul
Period	16/05/05 → 20/05/05

Keywords

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

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10.1109/ICC.2005.1494527

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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 (pp. 1147-1151). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICC.2005.1494527

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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.",

keywords = "AWGN channels, Peak to average power ratio, Autocorrelation, Frequency estimation, Timing, Chirp modulation, OFDM",

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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. IEEE Institute of Electrical and Electronic Engineers, 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. IEEE Institute of Electrical and Electronic Engineers, 2005. p. 1147-1151.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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.

KW - AWGN channels

KW - Peak to average power ratio

KW - Autocorrelation

KW - Frequency estimation

KW - Timing

KW - Chirp modulation

KW - OFDM

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M3 - Conference article in proceedings

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