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Universal Modulation Comparator Online Simulator


Universal Digital Modulation Simulator

Bit Error Rate (BER) Calculator

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Performance Metrics: Error Probability in Digital Modulation

Analytical Bit Error Rate (BER) Expressions

Binary Phase Shift Keying (BPSK)

\[ P_b = Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \] 

  Technical Guide: Q-function and erfc relationships

Quadrature Phase Shift Keying (QPSK)

(Utilizing Gray Coding) \[ P_b = Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \]

8-PSK Modulation

(High-SNR Approximation) \[ P_b \approx \frac{2}{\log_2(8)} Q\left( \sqrt{\frac{2E_s}{N_0}} \sin\left(\frac{\pi}{8}\right) \right) \]

16-QAM Performance

(Gray-Mapped Approximation) \[ P_b \approx \frac{3}{4} Q\left( \sqrt{\frac{4}{5}\frac{E_b}{N_0}} \right) \]

64-QAM Performance

(Gray-Mapped Approximation) \[ P_b \approx \frac{7}{12} Q\left( \sqrt{\frac{2}{7}\frac{E_b}{N_0}} \right) \]

256-QAM Performance

(Gray-Mapped Approximation) \[ P_b \approx \frac{15}{32} Q\left( \sqrt{\frac{8}{85}\frac{E_b}{N_0}} \right) \]

Symbol Error Rate (SER) Characterization

BPSK

\[ P_s = Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \]

QPSK Symbol Error Estimate

\[ P_s \approx 2Q\left(\sqrt{\frac{2E_b}{N_0}}\right) \]

8-PSK Symbol Error Estimate

\[ P_s \approx 2Q\left( \sqrt{\frac{2E_s}{N_0}} \sin\left(\frac{\pi}{8}\right) \right) \]

16-QAM Symbol Error Estimate

\[ P_s \approx 3Q\left( \sqrt{\frac{4}{5}\frac{E_b}{N_0}} \right) \]

64-QAM Symbol Error Estimate

\[ P_s \approx \frac{7}{2} Q\left( \sqrt{\frac{2}{7}\frac{E_b}{N_0}} \right) \]

256-QAM Symbol Error Estimate

\[ P_s \approx \frac{15}{4} Q\left( \sqrt{\frac{8}{85}\frac{E_b}{N_0}} \right) \]

Technical Notes & Assumptions

  • The BER derivations for QPSK and QAM variations presuppose the application of Gray Coding to minimize bit errors.
  • Calculations are modeled based on signal propagation through an Additive White Gaussian Noise (AWGN) channel environment.
  • In the case of BPSK, bit and symbol error rates are equivalent ($P_b = P_s$) due to the single-bit-per-symbol mapping.
  • QAM expressions provided are optimized for high Signal-to-Noise Ratio (SNR) scenarios common in system link-budget analysis.
  • Notation: \(E_b\) represents energy per bit, \(E_s\) denotes energy per symbol, \(N_0\) is the noise power spectral density, and \(Q(x)\) is the Gaussian Tail Probability function.


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