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Error probability of binary PAM

Short answer

For binary polar PAM with matched filtering and equal prior probabilities, the error probability is Pe = 0.5 erfc(√(Eb/N0)). The received sample ±A + n is compared to a zero threshold; the noise variance is σ² = N0/2.

Derive the expression of error probability for binary PAM signal.

In binary (polar) PAM bit 1 is sent as a pulse of amplitude +A+A and bit 0 as −A-A. White Gaussian noise is added; the receiver samples once per bit and decides with threshold λ=0\lambda=0.

The sample is y=±A+ny=\pm A+n, n∼N(0,σ2)n\sim\mathcal{N}(0,\sigma^2):

f(y∣1)=12πσe−(y−A)2/2σ2,f(y∣0)=12πσe−(y+A)2/2σ2f(y\mid1)=\frac{1}{\sqrt{2\pi}\sigma}e^{-(y-A)^2/2\sigma^2},\qquad f(y\mid0)=\frac{1}{\sqrt{2\pi}\sigma}e^{-(y+A)^2/2\sigma^2}
    f(y|0)       f(y|1)
     .--.    |    .--.
    /    \   |   /    \
 --/------\..|../------\---> y
  -A         0        +A

Error when 0 is sent (y>0y>0): let u=y+A2σu=\frac{y+A}{\sqrt2\sigma}

Pe0=∫0∞12πσe−(y+A)2/2σ2dy=1π∫A/2σ∞e−u2du=12erfc⁡(A2 σ)\begin{aligned} P_{e0} &= \int_0^{\infty}\frac{1}{\sqrt{2\pi}\sigma}e^{-(y+A)^2/2\sigma^2}dy=\frac{1}{\sqrt\pi}\int_{A/\sqrt2\sigma}^{\infty}e^{-u^2}du \\ &= \frac12\operatorname{erfc}\left(\frac{A}{\sqrt2\,\sigma}\right) \end{aligned}

By symmetry Pe1=Pe0P_{e1}=P_{e0}. With equal priors:

Pe=12erfc⁡(A2 σ)=Q(Aσ)P_e=\frac12\operatorname{erfc}\left(\frac{A}{\sqrt2\,\sigma}\right)=Q\left(\frac{A}{\sigma}\right)

With a matched filter, A2σ2=2EbN0\frac{A^2}{\sigma^2}=\frac{2E_b}{N_0}, so Pe=12erfc⁡Eb/N0P_e=\frac12\operatorname{erfc}\sqrt{E_b/N_0}. For unipolar PAM (AA, 0, threshold A/2A/2): Pe=12erfc⁡(A22σ)P_e=\frac12\operatorname{erfc}\left(\frac{A}{2\sqrt2\sigma}\right), which needs twice the average power for the same PeP_e.

✓ Answer checked by Claude Opus 5.5 (high effort)

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