Even though such results are often provided automatically, designers will have better understanding and potential for optimization if they understand how the root mean square (RMS) phase deviation is calculated from the ratio of power of the single sideband phase noise to the carrier.

Most modern spectrum analyzers have an automatic measurement for determining the integrated phase deviation of a mostly sinusoidal signal across a range of offset frequencies. The results can be expressed in units of dBc or rads. The root-mean-square (RMS) phase deviation (in rads) is calculated from the ratio of power of the single-sideband (SSB) phase noise to the carrier (dBc). With a better understanding of how this is done, engineers can both better understand the results and optimize the measurement. To begin, let’s discuss the relationship between the modulating index of an angle modulated signal and the curves of the Bessel function.

Angle-modulated signals, such as carriers with phase and frequency modulation, are characterized by a modulation index (m). The modulation index for a frequency-modulated signal is the ratio of the peak frequency deviation to the modulating frequency. In contrast, the modulation index for a phase-modulated signal is simply the peak phase deviation or Δ*φ _{peak}*. Equation 1 describes this relationship:

*Equation 1.*

The angle modulating a given carrier frequency, *F _{c}*, with a sinusoidal signal at a modulation frequency of

*f*, will create an infinite number of sidebands. They will be spaced at frequency

_{mod}*f*around the carrier at frequency

_{mod}*F*. The amplitudes of the modulated carrier and sidebands can be determined by using the modulation index of the signal and the curves of the Bessel function

_{c}*J*.

_{0}– J_{n}Figure 1 shows the curves of a Bessel function for *J _{0}* to

*J*. A vertical line is drawn at a modulation index of 3, which is equivalent to a Δ

_{3}*φ*of 3 rads. With the intersection of this vertical line with the individual curves of the Bessel function, an indication is given of the relative amplitude of the modulated carrier and sidebands to the unmodulated carrier on a voltage scale.

_{peak}

*1. Here, Bessel function curves are used to determine the spectrum of an angle-modulated signal.*

This example includes the following relative amplitudes:

Modulated carrier *J _{0}* = –0.27

First sideband

*J*= 0.33

_{1}Second sideband

*J*= 0.48

_{2 }Third sideband

*J*= 0.33

_{3}Figure 2 is the spectrum of a phase-modulated signal carrier, *F _{c}*, at a frequency of 1 GHz. It has a modulating frequency (

*f*) of 400 Hz and a peak phase deviation of 3 rads. The amplitude scale is in volts with the amplitude of the unmodulated carrier set to 100 mV. The spectrum of the unmodulated carrier is the yellow trace. The blue trace shows the modulated signal. The marker readouts for the modulated carrier and the first three sidebands are close to the predicted values of

_{m}*J*through

_{0}*J*. Note that this is the magnitude of the spectrum. As a result, the negative values from the Bessel function are shown as positive.

_{3}

*2. This spectrum of an angle-modulated signal was taken from an Agilent X-Series signal analyzer.*

**Determining RMS phase deviation from the spectrum of a carrier with sinusoidal phase modulation**

In spectrum analysis, there also is a need to determine the Δ*φ _{peak k}* peak phase deviations from the spectrum of the signal. This would be somewhat difficult for large values of Δ

*φ*. For small values of Δ

_{peak}*φ*(Δ

_{peak}*φ*< 0.5 rad), however, examining the curves for the Bessel function will show that the amplitude of the modulated carrier and the unmodulated carrier are close to equal. In addition, the amplitudes of the second-order and higher sidebands are close to zero.

_{peak k}For small peak phase deviations, another advantage is that the first sideband’s relative amplitude is very close to one-half of the peak phase deviation. The Δ*φ _{peak}* of phase noise is very small (<<0.5 rad). To determine Δ

*φ*using the simple relationship detailed in Eq. 2, it permits these three factors to simply measure the relative amplitude of the first sideband to the amplitude of the modulated carrier:

_{peak}

*Equation 2.*

where *V _{ss}* is the amplitude of the single sideband (in voltage) and

*V*is the amplitude of the carrier (in voltage).

_{c}The amplitude values of most modern spectrum analyzers are on a power not voltage scale. Equation 2 can therefore be used to convert voltage to relative power in Eq. 3. Also, the phase-noise result obtained from most spectrum analyzers is the RMS phase deviation (Δ*φ _{rms}*) and not the peak phase deviation (Δ

*φ*). Equation 4 converts the peak deviation to RMS. Finally, Equation 5 shows how to determine the carrier’s RMS phase deviation when modulated with a sinusoidal signal and measured on a relative power scale.

_{peak}

*Equation 3.*

*Equation 4.*

*Equation 5.*

where *P _{ss}* is the SSB amplitude (in power) and

*P*is the amplitude of the carrier (in power).

_{c}

**Calculating the integrated phase deviation from the phase noise present on a carrier**

This calculation needs to be tailored so that it can be used to measure the integrated phase deviation from the phase noise. To do this, the term *£* (f) is introduced. It is the noise density of the power present in the SSB phase noise of a signal relative to the amplitude of the carrier. The method used to determine the phase noise is the integrated bandwidth method. The user selects a range of offset: the interval *f _{start}* to

*f*. The power relative to the carrier is then integrated between these two frequency points and computed as shown in Eq. 6:

_{stop}

*Equation 6.*

where *£* (f) is in power-density ratio units and Φ* _{SSB}* is the SSB integrated RMS phase noise (in rads). (Of course, the equation is implemented as a summation—not an integration—in the spectrum analyzer.)

In dBc units, the integrated RMS single-sideband phase noise is:

*Equation 7.*

The power in the two sidebands together is twice as large:

*Equation 8.*

In Eq. 5, it can now be recognized that *P _{SS}/P_{c}* is the same single-sideband power ratio computed as

*Φ*. Therefore:

_{SSB}

*Equation 9.*

Equation 9 is the calculation made in spectrum analyzers to report the integrated phase-noise measurement results in terms of the RMS phase deviation in units of radians. Now that this has been determined, some simple computations from the RMS phase deviation might be useful in other applications. The jitter (in s) can be calculated by relating the integrated phase deviation to one cycle in time of the unmodulated carrier at a frequency of *F _{c}*:

*Equation 10.*

Figure 3 is a display of a log measurement of an unmodulated carrier’s phase noise at a frequency close to 1 GHz (taken on an X-Series signal analyzer). The measurement was set to record phase noise at offsets of 100 kHz to 1 MHz from the carrier. Markers 1, 2, and 3 display the phase noise in units of dBc_{SSB}—rads and s, respectively. Markers 4 and 5 display the slope of the phase noise in units of dB/octave. Similarly, markers 6 and 7 display the slope in units of dB/decade.

*3. Shown is an X-Series signal analyzer log plot measurement.*

Most modern spectrum analyzers will automate the calculation of the results found in the equations discussed so far. It is beneficial, however, to understand how these equations were derived. After all, it may be useful in better understanding or computing these results, which may not be available in other spectrum-analyzer phase-noise measurements. Some of these also can be automated using built-in band power markers to develop a specific measurement for a task that needs to be accomplished.

**Additional Information**

Agilent X-Series Signal Analyzers.

N9068A and W9068A Phase Noise Measurement Application, technical overview.

Agilent’s Phase Noise Measurement Solutions, selection guide.