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OSNR vs BER and Constellation diagram in DP CO OFDM

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(joined December 2020)
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Hi everyone, I am trying to simulate the Polarization Combiner example given in Optisystem. I got a proper constellation at the receiver side and to observe OSNR vs BER in this system, I added an OSNR component by sweeping its parameters, but min. log of BER value is constantly showed -1000.
Then I replaced PRBS with a BER TEST SET component. In this case, I get variation in BER with respect to OSNR, but the EYE diagram is not proper. Also osnr vs ber is not received correctly.

I referred to other OFDM examples also. Without OFDM (QAM examples), we can add a DSP component (OptiSystem 18.0 Samples\Advanced modulation systems\QAM systems). But the DSP component can not be added in the OFDM system I think.

Ultimately I need to get OSNR vs BER and also proper constellation at the receiver in OFDM system. Kindly help me.

Responses (1):

    • #69970
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      M VINOTH KUMAR
      Participant

      Hi everyone, I am trying to simulate the Polarization Combiner example given in Optisystem. I got a proper constellation at the receiver side and to observe OSNR vs BER in this system, I added an OSNR component by sweeping its parameters, but min. log of BER value is constantly showed -1000.
      Then I replaced PRBS with a BER TEST SET component. In this case, I get variation in BER with respect to OSNR, but the EYE diagram is not proper. Also osnr vs ber is not received correctly.

      I referred to other OFDM examples also. Without OFDM (QAM examples), we can add a DSP component (OptiSystem 18.0 Samples\Advanced modulation systems\QAM systems). But the DSP component can not be added in the OFDM system I think.

      Ultimately I need to get OSNR vs BER and also proper constellation at the receiver in OFDM system. Kindly help me.

    • #70010
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      Ahmad Atieh
      Moderator

      Dear Vinoth,
      You need to make sure that the signal types from the output of one component to the input of the next component matches.
      Regards,
      Ahmad

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