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How can i improve Mini. BER using Serdes Toolbox in Simulink?

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ruixian zhang
ruixian zhang 2023-4-6
评论： Xiongshi 2024-7-10，14:18
In Serdes Toolbox of simulink, setting target BER to 1e-6 or less doesn't work and the mini. BER of my system is always around 1e-5. My system includes:
PRBS -> channel (8-dB loss in Nyquist point) -> Recevier (VGA->CTLE->FFE->AGC)
How can i improve mini.BER? Is my system structure wrong (like i need some DSP module)? Or there is other environmental configuration?

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回答（2 个）

Nithin
Nithin 2023-11-14
I believe the MinBER in serdes tool box has nothing to do with eye quality, its just shows 1/(Total number of Symbols- Ignored bits). Just increasing your total number of symbols should solve the problem in this case .
Naren
Naren 2023-4-25
Hello Ruixian,
Noise, Signal Distortion in the circuit components are a few of the variables that can lead to a minimum BER. Here are possible solutions to raise the minimum BER.
  • By increasing transmitted signal’s power or lowering receiver or channel noise, you can improve the signal-to-noise ratio (SNR). Increasing the CTLE (Continuous Time Linear Equaliser) gain can help minimise noise by widening the receiver's bandwidth.
  • To enhance signal quality, change the receiver's equalisation settings. For instance, you can modify the FFE (Feed-Forward Equaliser) taps to enhance the equalizer's response.
  • If there are any substantial signal distortions or losses, check the frequency response of your channel and receiver. To determine the frequency response of the elements in your circuit, utilise a frequency response analyser.
  • Make that the impedances of your transmitter and receiver are correctly matched. Signal reflections brought on a mismatched impedance might result in signal distortion and higher BER.
  • Verify the PRBS (Pseudo-Random Binary Sequence) signal's quality. A long enough length and proper generation and transmission are required to prevent pattern-dependent effects
To further enhance signal quality, think about utilising DSP (Digital Signal Processing) methods like adaptive equalisation, error correction coding, or noise reduction algorithms.

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