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PSD and average power of A cos(2πfct + θ)

Short answer

Energy spectral density Ψ_g(f)=|G(f)|² for energy signals; power spectral density S_g(f)=lim |G_T(f)|²/T for power signals. For g(t)=A cos(2πfct+θ), autocorrelation is (A²/2)cos(2πfcτ), PSD is (A²/4)[δ(f-fc)+δ(f+fc)], average power is A²/2 watts into 1Ω. Phase θ does not affect PSD or power.

Define energy and power spectral density functions. Find power spectral density and average power for the periodic signal defined by g(t) = A cos(2πfct + θ).

Energy spectral density

For an energy signal g(t)g(t) (finite energy, zero average power), the ESD is the squared magnitude of its Fourier transform:

Ψg(f)=∣G(f)∣2  (J/Hz),E=∫−∞∞Ψg(f)df\Psi_g(f)=\lvert G(f)\rvert^2\ \ (\text{J/Hz}),\qquad E=\int_{-\infty}^{\infty}\Psi_g(f)df

It is also the Fourier transform of the energy autocorrelation Rg(τ)=∫g(t)g∗(t−τ)dtR_g(\tau)=\int g(t)g^*(t-\tau)dt.

Power spectral density

For a power signal (finite non-zero average power, infinite energy), the PSD is the power per unit bandwidth, defined with the truncated signal gT(t)g_T(t):

Sg(f)=lim⁡T→∞∣GT(f)∣2T  (W/Hz),P=∫−∞∞Sg(f)dfS_g(f)=\lim_{T\to\infty}\frac{\lvert G_T(f)\rvert^2}{T}\ \ (\text{W/Hz}),\qquad P=\int_{-\infty}^{\infty}S_g(f)df

By the Wiener–Khinchin theorem, Sg(f)S_g(f) is the Fourier transform of the time-averaged autocorrelation Rg(τ)=lim⁡T→∞1T∫−T/2T/2g(t)g∗(t−τ)dtR_g(\tau)=\lim_{T\to\infty}\frac{1}{T}\int_{-T/2}^{T/2}g(t)g^*(t-\tau)dt.

PSD and average power of g(t)=Acos⁡(2πfct+θ)g(t)=A\cos(2\pi f_ct+\theta)

The signal is periodic with period T0=1/fcT_0=1/f_c, so the time average over one period is enough.

Step 1 – autocorrelation:

Rg(τ)=1T0∫−T0/2T0/2Acos⁡(2πfct+θ) Acos⁡(2πfc(t−τ)+θ) dt=A22T0∫−T0/2T0/2[cos⁡(2πfcτ)+cos⁡(4πfct−2πfcτ+2θ)]dt=A22cos⁡(2πfcτ)\begin{aligned} R_g(\tau)&=\frac{1}{T_0}\int_{-T_0/2}^{T_0/2}A\cos(2\pi f_ct+\theta)\,A\cos(2\pi f_c(t-\tau)+\theta)\,dt\\ &=\frac{A^2}{2T_0}\int_{-T_0/2}^{T_0/2}\left[\cos(2\pi f_c\tau)+\cos(4\pi f_ct-2\pi f_c\tau+2\theta)\right]dt\\ &=\frac{A^2}{2}\cos(2\pi f_c\tau) \end{aligned}

The second cosine integrates to zero over a full period. Note that Rg(τ)R_g(\tau) does not depend on θ\theta.

Step 2 – PSD (Fourier transform of Rg(τ)R_g(\tau), using cos⁡2πfcτ↔12[δ(f−fc)+δ(f+fc)]\cos 2\pi f_c\tau\leftrightarrow\frac{1}{2}[\delta(f-f_c)+\delta(f+f_c)]):

Sg(f)=A24[δ(f−fc)+δ(f+fc)]S_g(f)=\frac{A^2}{4}\left[\delta(f-f_c)+\delta(f+f_c)\right]

So the PSD consists of two impulses, each of weight A2/4A^2/4, at f=±fcf=\pm f_c.

          S(f)
  A^2/4 ^   |   ^ A^2/4
        |   |   |
 -------+---+---+-------> f
      -fc   0   fc

Step 3 – average power:

P=∫−∞∞Sg(f) df=A24+A24=A22P=Rg(0)=A22  (check)\begin{aligned} P&=\int_{-\infty}^{\infty}S_g(f)\,df=\frac{A^2}{4}+\frac{A^2}{4}=\frac{A^2}{2}\\ P&=R_g(0)=\frac{A^2}{2}\ \ (\text{check}) \end{aligned}

Answer: Sg(f)=A24[δ(f−fc)+δ(f+fc)]S_g(f)=\frac{A^2}{4}[\delta(f-f_c)+\delta(f+f_c)] and average power P=A22P=\frac{A^2}{2} (watts into a 1 Ω\Omega load). The phase θ\theta has no effect on PSD or power.

✓ Answer checked by Claude Opus 5.5 (high effort)

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