ML-based blind symbol rate detection for multi-rate receivers

2005 ◽  
Author(s):  
H. Wymeersch ◽  
M. Moeneclaey
Keyword(s):  
Symbol Rate

Study on FSK Signal Demodulation Based on Chirp-Z Transform

2012 ◽  
Vol 532-533 ◽  
pp. 827-831
Author(s):  
Jiang Hua Xia ◽  
Jing Guo ◽  
Xiao Ming Wang
Keyword(s):  
Frequency Shift ◽  
Matlab Simulation ◽  
A Algorithm ◽  
Signal Parameters ◽  
Detailed Explanation ◽  
Symbol Rate ◽  
Shift Keying ◽  
Signal Demodulation ◽  
Track Circuits ◽  
Strong Ability

The Frequency-Shift Keying (FSK) signal is frequently used in track circuits because of the strong ability of resistance interference. Symbol rate is one of the important signal parameters for safety of railway. The paper propose a algorithm of high precise detectation of FSK signal using Chirp-Z transform; Theoretically gives the detailed explanation to the major technique, and has carried on the Matlab simulation, The simulation result indicates this method during the enhancement is shifted signal examination precision, reduced the computation order of complexity.

A Novel Symbol Rate Estimation Algorithm for Phase Modulating Signals in Wireless Communications

2013 ◽  
Vol 443 ◽  
pp. 392-396
Author(s):  
Peng Zhou ◽  
Chi Sheng Li
Keyword(s):  
Signal To Noise Ratio ◽  
Estimation Algorithm ◽  
Frequency Resolution ◽  
Phase Shift Keying ◽  
Phase Jump ◽  
Rate Estimation ◽  
Awgn Channel ◽  
Symbol Rate ◽  
Shift Keying ◽  
Simulation Results

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.

Optimum space-time processors with symbol-rate sampling are bandlimited

2006 ◽  
Vol 54 (5) ◽  
pp. 1936-1941 ◽  
Author(s):  
R. Kalbasi ◽  
D.D. Falconer ◽  
A.H. Banihashemi
Keyword(s):  
Space Time ◽  
Symbol Rate

Quasi-Continuous Symbol Rate Tunability for Maximum Capacity in Links Constrained by ROADM Filtering

2021 ◽  
Author(s):  
Steven Searcy ◽  
Thomas Richter ◽  
Sergey Burtsev ◽  
Sorin Tibuleac
Keyword(s):  
Maximum Capacity ◽  
Symbol Rate ◽  
Continuous Symbol

scholarly journals Advantages of Spectrally Efficient Frequency Division Multiplexing Over Orthogonal Frequency Division Multiplexing

2020 ◽  
Vol 9 (8) ◽  
pp. 238-244
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Average Power ◽  
Frequency Division Multiplexing ◽  
Power Ratio ◽  
Frequency Division ◽  
Sphere Decoder ◽  
Symbol Rate ◽  
Transmission Length ◽  
Spectrally Efficient ◽  
The Impact

An analysis on Spectrally Efficient Frequency Division Multiplexing (SEFDM) is contrast with Orthogonal Frequency Division Multiplexing (OFDM) considering the impact on Peak to Average Power Ratio (PAPR) and nonlinearities within fibre. With respect to OFDM the sub-carriers in SEFDM signals are compressed adjacent to each other at a rate of frequency lesser than the symbol rate. At the receiver end we have utilized the Sphere Decoder which is used to recover the data to remunerate the Interference created by the compressed signals (ICI) faced in the system. This research shows the advantages by using SEFDM and evaluates its achievement. PAPR. when compared with OFDM, while effects of non-linear fibres are considered. The use of various formats of modulation going from 4-QAM to 32-QAM, shows that the SEFDM signals have a noteworthy increment in the transmission length with respect to ordinary signals.

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