BIT ERROR RATIO TESTERS

How to reduce the bit error rate of OFDM

How to reduce the bit error rate of OFDM

For this, numerous techniques are proposed to beat the PAPR problem like i) Selective mapping (SLM) ii) Partial transmit sequence (PTS), iii) Clipping, iv) Clipping and filtering. Current technological objectives for OFDM focus primarily on optimizing bit error rate (BER) performance, particularly in high-data-rate applications where transmission reliability directly impacts user experience. However, one amongst the foremost drawbacks of the OFDM system is that the high-peak-to-average power ratio (PAPR) that leads the system to provide in-band distortion and out-of-band radiation and reduces its efficiency. OFDM can be implemented easily, it is spectrally efficient and can provide high data rates with sufficient robustness to channel imperfections. Abstract-In this paper we present an analytical approach to evaluate the bit error rate (BER) of OFDM systems subject to carrier frequency offset (CFO) and channel estimation error in Rayleigh flat fading as well as in time and frequency selective fading channels.

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Splier Loss and Splitting Ratio Test

Splier Loss and Splitting Ratio Test

Testing a splitter or other passive fiber optic devices like switches is little different from testing a patchcord or cable plant using the two industry standard tests, OFSTP-14 for double-ended loss (connectors on both ends) or FOTP-171 for single-ended testing. Optical splitters are usually used in passive optical networks (PONs) to distribute fiber to individual homes or businesses. However, like any other network component, optical splitters can experience loss, which impacts the overall performance of the network.

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Optical module eye diagram is too poor no error messages

Optical module eye diagram is too poor no error messages

If there is no contact, the indicator of the eye diagram meets the standard, but if the tested eye diagram exceeds the standard eye diagram, the optical module cannot pass the test and additional calibration must be performed, and targeted improvements can be made. I have included the captured eye diagram of one of the good signal and one bad signal. The resulting image takes on a distinct eye-like shape, from which engineers can discern important signal characteristics.

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