Time domain synchronization using Newman chirp training sequences in AWGN channels

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.