Code Rate Estimation Algorithm for BPSK Signal Based on Wavelet Transformation

2013 ◽  
Vol 740 ◽  
pp. 178-182
Author(s):  
Huan Wang ◽  
Chang Xing Li ◽  
Yong Zhuang Li

A wavelet transformation based estimating algorithm for the symbol rate of BPSK signals is adopted . This method extracts baseband signal from the generated BPSK modulated signal by means of different ways, utilizing the modulus of wavelet transformation coefficients of this baseband signal to construct a singular pulse sequence consistent with the code rate of original modulated signal. Theoretical analysis on the power spectrum of this singular pulse sequence indicates that there exist discrete spectral lines in the integral multiples of baseband signal symbol rate, thus detecting these discrete spectral lines can achieve the estimation of signal symbol rate. Our proposed algorithm can estimate the signal symbol rate under the low SNR condition.

2013 ◽  
Vol 443 ◽  
pp. 392-396
Author(s):  
Peng Zhou ◽  
Chi Sheng Li

In this paper, we proposed a new symbol rate estimation algorithm for phase shift keying (PSK) and qua drawtube amplitude modulation (QAM) signals in AWGN channel First we constructe a delay-multiplied signal, from which we obtaine the modulated information. Then we calculated the instantaneous autocorrelation of the delay-multiplied signal to pick out the phase jump. To eliminate the restriction of frequency resolution in fast Fourier transform, we performed a Chirp-Z transform to find out the exact spectral line which represente the symbol rate of the signal to be analyzed. Compared with the existing algorithms, it is a simple solution that has a better performance and accuracy in low signal-to-noise-ratio channel conditions. Simulation results show that the probability of relative estimating deviation below 0.1% reaches 100% and the average and standard variance of absolute estimation deviation are at the magnitude of 10-2 when SNR is over 2dB.


2017 ◽  
Vol 12 (S333) ◽  
pp. 18-21 ◽  
Author(s):  
Bradley Greig ◽  
Andrei Mesinger

AbstractWe extend our MCMC sampler of 3D EoR simulations, 21CMMC, to perform parameter estimation directly on light-cones of the cosmic 21cm signal. This brings theoretical analysis one step closer to matching the expected 21-cm signal from next generation interferometers like HERA and the SKA. Using the light-cone version of 21CMMC, we quantify biases in the recovered astrophysical parameters obtained from the 21cm power spectrum when using the co-eval approximation to fit a mock 3D light-cone observation. While ignoring the light-cone effect does not bias the parameters under most assumptions, it can still underestimate their uncertainties. However, significant biases (∼few – 10 σ) are possible if all of the following conditions are met: (i) foreground removal is very efficient, allowing large physical scales (k ∼ 0.1 Mpc−1) to be used in the analysis; (ii) theoretical modelling is accurate to ∼10 per cent in the power spectrum amplitude; and (iii) the 21cm signal evolves rapidly (i.e. the epochs of reionisation and heating overlap significantly


2011 ◽  
Vol 8 (1) ◽  
pp. 54-58
Author(s):  
Baghdad Science Journal

A theoretical analysis studied was performed to study the opacity broadening of spectral lines emitted from aluminum plasma produced by Nd-YLF laser. The plasma density was in the range 1028-1026 )) m-3 with length of plasma about ?300) m) , the opacity was studied as function of plasma density & principle quantum number. The results show that the opacity broadening increases as plasma density increases & decreases with the spacing between energy levels of emission spectral line.


2020 ◽  
Vol 68 ◽  
pp. 6142-6158
Author(s):  
Jun Zhang ◽  
Xiangyuan Xu ◽  
Zhifei Chen ◽  
Ming Bao ◽  
Xiao-Ping Zhang ◽  
...  

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