Coarse Frequency Compensator
Compensate for carrier frequency offset for PAM, PSK, or QAM
The Coarse Frequency Compensator block compensates for a carrier frequency offset for BPSK, QPSK, OQPSK, 8-PSK, PAM, and QAM modulation schemes. The block accepts a single input signal. To obtain an estimate of the frequency offset in Hz, select the Estimated frequency offset output port check box. The block accepts a sample- or frame-based complex input signal and returns a complex output signal and a real frequency offset estimate. The output signal has the same dimensions as the input signal. The frequency offset estimate is a scalar.
- Modulation type of input signal
Specify the modulation type as
The default setting is
- Estimation algorithm
Specify the frequency offset estimation algorithm as
Correlation-based. This parameter appears when Modulation type of input signal is
The table shows the allowable combinations of the modulation type and the estimation algorithm.
Modulation FFT-Based Algorithm Correlation-Based Algorithm
- Frequency resolution (Hz)
Specify the frequency resolution in Hz as a positive real scalar. This option is available when the
FFT-basedalgorithm is used. The default setting is
- Samples per symbol
Specify the number of samples per symbol as a positive integer scalar greater than or equal to 4. The default setting is 4.
- Maximum frequency offset (Hz)
Specify the maximum frequency offset in Hz as a positive real scalar. This option is appears when you set Estimation algorithm to
Correlation-based. The default setting is
- Estimated frequency offset output port
Select this check box to provide the estimated frequency offset to an output port. The default for this parameter is selected.
- Simulate using
Select the simulation mode.
On the first model run, simulate and generate code for the block using only MATLAB® functions supported for code generation. If the structure of the block does not change, subsequent model runs do not regenerate the code.
If the simulation mode is
Code generation, System objects accept a maximum of nine inputs.
Simulate your model using all supported MATLAB functions. Choosing this option can slow simulation performance.
The default setting is
This block implements the algorithm, inputs, and outputs described on the
comm.CoarseFrequencyCompensator reference page. The object properties
correspond to the block parameters.
Correct for Frequency and Phase Offset
Correct for a frequency offset imposed on a noisy 8-PSK channel by using the Coarse Frequency Compensator block.
doc_coarsefreqcomp model as shown in this
Open the dialog boxes to set these parameter values:
Random Integer Generator — Sample time is
1e-4, which is equivalent to a 10 ksym/sec symbol rate.
Raised Cosine Transmit Filter — Output samples per symbol is
AWGN Channel — Mode is
Signal to noise ratio (SNR)and SNR (dB) is
Phase/Frequency Offset — Frequency offset (Hz) is
Coarse Frequency Compensator — Estimation algorithm is
FFT-basedand Frequency resolution (Hz) is
Run the model. The Spectrum Analyzer block shows both the frequency offset signal and the compensated signal. In addition, the Display (Simulink) block shows the estimate of the frequency offset. Observe that the spectrum plot shows that the Coarse Frequency Compensator correctly centers the signal around 0 Hz. Additionally, the display shows that the estimated frequency offset is 2000 Hz.
Adjust the parameters in the Phase/Frequency Offset and Coarse Frequency Compensator blocks and see their effect on frequency compensation performance.
Supported Data Types
|Port||Supported Data Types|
 Luise, M. and R. Regiannini. “Carrier recovery in all-digital modems for burst-mode transmissions.” IEEE® Transactions on Communications.Vol. 43, No. 2, 3, 4, Feb/Mar/April, 1995, pp. 1169–1178.
 Wang, Y., K. Shi, and E. Serpedi. “Non-Data-Aided Feedforward Carrier Frequency Offset Estimators for QAM Constellations: A Nonlinear Least-Squares Approach.” EURASIP Journal on Applied Signal Processing. 2004:13, pp. 1993–2001.
 Nakagawa, T., M. Matsui, T. Kobayashi, K. Ishihara, R. Kudo, M. Mizoguchi, and Y. Miyamoto. “Non-Data-Aided Wide-Range Frequency Offset Estimator for QAM Optical Coherent Receivers.” Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2011 and the National Fiber Optic Engineers Conference. March 2011, pp. 1–3.
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
Introduced in R2015b