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614 LEARNING DECIBELS AND THEIR APPLICATIONS

We first must learn to ask ourselves: Is the input greater or smaller than the output? This network has gain, thus we know that the input must be smaller than the output. By how much? It is smaller by 26 dB. What is the numeric value of 26 dB? Remember, 20 dB is 100; 23 dB is 200, and 26 dB is 400. So the input is 1/ 400 of the output or 40/ 400 (mW) c 0.1 mW.

C.2 dBm and dBW

These are the first derived decibel units that we will learn. They are probably the most important. The dBm is also a ratio. It is a decibel value related to one milliwatt (1 mW). The dBW is a decibel value related to one watt (1 W). Remember the little m in dBm refers to milliwatt and the big W in dBW refers to watt.

The values dBm and dBW are measures of real levels. But first we should write the familiar dB formulas for dBm and dBW:

Value (dBm) c 10 log P1/ (1 mW)

Value (dBW) c 10 log P1/ (1 W).

Here are a few good relationships to fix in our memories:

1 mW c 0 dBm

(by definition)

1 W c 0 dBW

(by definition)

+30 dBm c 0 dBW c 1 W −30 dBW c 0 dBm c 1 mW.

Who will hazard a guess what +3 dBm is in mW? Of course, it is 3 dB greater than 0 dBm. Therefore it must be 2 mW. Of course, +6 dBm is 4 mW, and −3 dBm is half of zero dBm or 0.5 mW. A table is often helpful for the powers of ten:

1 mW c 100 mW c 0 dBm 10 mW c 101 mW c +10 dBm

100 mW c 102 mW c +20 dBm

1000 mW c 103 mW c +30 dBm c 0 dBW

10 W c 104 mW c +40 dBm c +10 dBW(etc.).

Likewise:

C.2 dBm AND dBW

615

0.1 mW c 10−1 c −10 dBm 0.01 mW c 10−2 c −20 dBm

0.001 mW c 10−3 c −30 dBm 0.0001 mW c 10−4 c −40 dBm.

Once we have a grasp of dBm and dBW, we will find it easier to work problems with networks in series. We now will give some examples.

First we convert the input, 8 mW to dBm. Look how simple it is: 2 mW c +3 dBm, 4 mW c +6 dBm, and 8 mW c +9 dBm. Now watch this! To get the answer, the power level at the output is +9 dBm +23 dB c +32 dBm.

Another problem will be helpful. In this case the unknown will be the input to a network.

In each case like this we ask ourselves, is the output greater than the input? Because the network is lossy, the input is 17 dB greater than the output. Convert the output to dBm. It is +10 dBm. The input is 17 dB greater, or +27 dBm. We should also be able to say: “that’s half a watt.” Remember, +30 dBm c 1 W c 0 dBW. Then +27 dBm (“3 dB down”) is half that value.

Several exercises are in order. The answers appear after the four exercises.

Exercise 1a.

Exercise 1b.

616 LEARNING DECIBELS AND THEIR APPLICATIONS

Exercise 1c.

Exercise 1d.

(Answers: 1a: +13 dBm c 20 mW; 1b: +29 dBW, 1c: +32 dBm, and 1d: +7 dBm c 0.005 W).

C.3 VOLUME UNIT (VU)

The VU is the conventional unit for measurement of speech level. A VU can be related to a dBm only with a sinusoidal tone (a simple tone of one frequency) between 35 Hz and 10,000 Hz. The following relationship will be helpful:

Power level in dBm c VU − 1.4 dB

(for complex audio signals).

A complex audio signal is an audio signal composed of many sine waves (sinusoidal tones) or, if you will, many tones and their harmonics.

One might ask: If the level reading on a broadcaster’s program channel is −11 VU, what would the equivalent be in dBm? Reading in VU − 1.4 dB c reading in dBm. Thus the answer is −11 VU − 1.4 dB c −12.4 dBm.

C.4 USING DECIBELS WITH SIGNAL CURRENTS AND VOLTAGES

The dB is based upon a power ratio, as discussed. We can also relate decibels to signal voltages and to signal currents. The case for signal currents is treated first. We are dealing, of course, with gains and losses for a device or several devices (called networks) that are inserted in a circuit. Follow the thinking behind this series of equations:

Gain/ LossdB c 10 log P1/ P2 c 10 log I21R1/ I22R2 c 20 log I1/ I2 c 10 log R1/ R2.

If we let R1 c R2, then the term 10 log R1/ R2 c 0. (Hint: The log of 1 c 0.)

Remember from Ohm’s law that E c IR, and from the power law Pw c EI. Thus Pw c I2R c E2/ R.

To calculate gain or loss in dB when in the voltage/ current domain we derive the following two formulas from the reasoning just shown:

C.4 USING DECIBELS WITH SIGNAL CURRENTS AND VOLTAGES

617

Gain/ LossdB c 20 log E1/ E2 c 20 log I1/ I2.

We see, in this case, that we multiply the log by the factor 20 rather than the factor 10 as we did in the power domain (i.e., 20 log vs. 10 log) because we really are dealing with power. Power is the function of the square of the signal voltage (E2/ R) or signal current (I2R). We use traditional notation for voltage and current. Voltage is measured in volts (E); current, in amperes (I).

We must impress on the reader two important points: (1) equations as written are only valid when R1 c R2, and (2) validity holds only for terminations in pure resistance (there are no reactive components).

Consider these network examples: Current (I):

Voltage (E):

E1 and E2 are signal voltage drops across R1 and R2, respectively. The incisive reader will tell us that signals at the input are really terminated in an impedance (Z), which should equal the characteristic impedance, Z0 (specified impedance). Such an impedance could be 600 Q , for example. An impedance usually has a reactive component. Our argument is only valid if, somehow, we can eliminate the reactive component. The validity only holds true for a pure resistance. About the closest thing we can find to a “pure” resistance is a carbon resistor.

Turning back to our discussion, the input in the two cases cited may not be under our control, and there may be some reactive component. The output can be under our control. We can terminate the output port with a pure resistor, whose ohmic value equals the characteristic impedance. Our purpose for this discussion is to warn of possible small errors when reading input voltage or current.

Let’s discuss the calculation of decibels dealing with a gain or loss by an example. A certain network with equal impedances at its input and output ports displays a signal voltage of 10 V at the input and 100 V at the output. The impedances are entirely resistive. What is the gain of the network?

GaindB c 20 log 100/ 10 c 20 dB.

618 LEARNING DECIBELS AND THEIR APPLICATIONS

A similar network has a signal output of 40 V and a loss of 6 dB. What is the input signal voltage? (Equal impedances assumed.)

−6 dB c 20 log 40/ X.

We shortcut this procedure by remembering our 10 log values. With a voltage or amperage relationship, the dB value is double (20 is twice the magnitude of 10). The value of X is 80 V. Whereas in our 10 log regime 3 dB doubled (or halved), here 6 dB doubles or halves.

A more straightforward way of carrying out this procedure will be suggested in the next section. X can be directly calculated.

C.5 CALCULATING A NUMERIC VALUE GIVEN A dB VALUE

The essence of the problem of calculating a numeric value given a dB value can be stated as such: If we are given the logarithm of a number, what is the number? To express this, two types of notation are given in the literature as follows:

1A) log−10.3010 c 2

2A) log−12 c 100

1B) antilog(0.3010) c 2

2B) antilog2 c 100.

In the case of example 1, the logarithm is 0.3010, which corresponds to the number 2. If we were to take the log (base 10) of 2, the result is 0.3010. In example 2, the log of 100 is 2 or, if you will, 2 is the logarithm of 100.

For our direct application we may be given a decibel value and be required to convert to its equivalent numeric value. If we turn to our introductory comments, when dealing in the power domain, we know that if we are given a decibel value of 20 dB, we are working with a power gain or loss of 100; 23 dB, 200; 30 dB, 1000; 37 dB 5000, and so on.

A scientific calculator is particularly valuable when we are not working directly with multiples of 10. For instance, enter the logarithm of a number onto the calculator keypad and the calculator can output the equivalent numeric value. Many hand-held scientific calculators use the same button for the log as for the antilog. Usually one can access the antilog function by first pressing the “2nd” button, something analogous to upper case on a keyboard. Often printed directly above the log button is “10x.”

On most calculators we first enter the logarithm on the numerical keypad, being sure to use the proper signs (+ or −). Press the “2nd” button; then press the “log” button. After a short processing interval, the equivalent number is shown on the display.

Let us get to the crux of the matter. We are interested in dBs. Let us suppose we are given 13 dB and we are asked to find its numeric equivalent (power domain). This calculation is expressed by the following formula:

log−1(13/ 10) c 20.

Let us use a calculator and compute the following equivalent numeric values when given dB values:

C.5 CALCULATING A NUMERIC VALUE GIVEN A dB VALUE

619

1. −21.5 dB. Divide by 10 and we have −2.15. Enter this on the keyboard with the negative sign. Press 2nd F (function) to access the upper case, which is the same as the log button but marked right above “10x .” Press c button and the value 0.00708 appears on the display.

2. +26.8 dB. Enter this number on the keypad and divide by 10; press c. Press 2nd F; press log button (10x ) and press c. The equivalent numeric value appears on the display. It is 478.63.

When working in the voltage or current domain, we divide the dB value by 20 rather than 10. Remember we are carrying out the reverse process that we used calculating a dB value when given a number (numeric) (i.e., the result of dividing the two numbers making up the ratio). This is expressed by the following formula:

log−1(dB value/ 20) c equivalent numeric.

Consider this example. Convert 26 dB (voltage domain) to its equivalent numeric value. Enter 26 on the keypad and divide by 20. The result is 1.3. Press 2nd F button and press the log button (10x ) and press c. The value 19.952 appears on the display. The reader probably did this in his or her head and arrived at a value of 20.

Try the following six example problems, first in the power domain, and then in the voltage/ amperage domain. The correct answers appear just below.

1. −6 dB

 

,

 

 

.

 

2. +66 dB

,

.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

3. −22 dB

 

,

 

 

.

4. +17 dB

,

.

 

5. −27 dB

 

,

 

 

.

6. +8.7 dB

 

,

 

.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Answers: 1: 0.251; 0.501. 2: 3,981,071.7; 1995.26. 3: 0.006309; 0.07943. 4: 50.118; 7.07945. 5: 0.001995; 0.044668. 6: 7.413; 2.7227.

C.5.1 Calculating Watt and Milliwatt Values When Given dBW and dBm Values

We will find that the process of calculating numeric values in watts and milliwatts is very similar to calculating the numeric value of a ratio when given the equivalent value in decibels. Likewise, the greater portion of these conversions can be carried out without a calculator to a first-order estimation. In the case where the dB value is 10 or a multiple thereof, the value will be exact.

Remember: 0 dBm c 1 mW; 0 dBW c 1 W by definition. Further, lest we forget: +3 dBm is twice as large as the equivalent 0 dBm value, thus where 0 dBm c 1 mW, +3 dBm c 2 mW.

Also, +10 dBm numeric value is 10 times the equivalent 0 dBm value (i.e., it is 10 dB larger). So +10 dBm c 10 mW; −10 dBm c 0.1 mW; −20 dBm c 0.01 mW.

In addition, −17 dBm is twice the numeric magnitude of −20 dBm. So −17 dBm c 0.02 mW, and so forth.

Try calculating the numeric equivalents of these dBm and dBW values without using a calculator.

1.

+13 dBm

 

mW.

2.

−13 dBm

 

mW.

3.

+44 dBm

 

dBW,

 

W. 4.

−21 dBm

 

mW.

620 LEARNING DECIBELS AND THEIR APPLICATIONS

 

 

 

 

5. +27 dBW

 

 

W.

6. −14 dBW

 

mW.

7. −11 dBm

 

 

 

mW.

8. +47 dBW

 

 

kW.

Answers: 1: 20 mW. 2: 0.05 mW. 3: +14 dBW, 25 W. 4: 0.008 mW. 5: 500 W. 6: 40 mW. 7: 0.08 mW. 8: 50 kW.

C.6 ADDITION OF dBs AND DERIVED UNITS

Suppose we have a combiner, a device that combines signals from two or more sources. This combiner has two signal inputs: +3 dBm and +6 dBm. Our combiner is an ideal combiner in that it displays no insertion loss. In other words, there is no deleterious effect on the combining action, it is “lossless.” What we want to find out is the output of the combiner in dBm. It is not +9 dBm. The problem is shown diagrammatically as:

Some texts provide a nomogram to solve such a problem. We believe the following method is more accurate and, with the advent of affordable scientific calculators, easier. It is simple: Convert the input values to their respective numeric values in mW; add and convert the sum to its equivalent value in dBm.

The +3 and +6 dBm values are so familiar that we convert them by inspection, namely 2 and 4 mW. The sum is 6 mW. Now we take 10 log 6 to convert back to dBm again and the answer is +7.78 dBm. Remembering that there is an error when we work “3s” (3, 6, 9, 1, 4 and 7 values), we recalculated using a scientific calculator throughout. The answer was +7.76 dBm showing a 0.02-dB error.

On occasion, we will have to combine a large number of input/ outputs where each is of the same level. This is commonly done with frequency division multiplex equipment or with multitone telegraphy or data.

Suppose we have an FDM group (12 voice channel inputs), where each input was −16 dBm. What is the composite output? This is stated as:

Composite powerdBm c −16 dBm + 10 log 12

c−16 dBm + 10.79 dB

c−5.21 dBm.

The problem of adding two or more inputs in a combiner is pretty straightforward if we keep in the power domain. If we delve into the voltage or current domain with equivalent dB values, such as dBmV (which we cover in Section 15.3.2), we recommend returning to the power domain if at all possible. If we do not, we can open Pandora’s box, because of the phase relationship(s) of the inputs. In the next section we will carry out some interesting exercises in power addition.

C.7 dB APPLIED TO THE VOICE CHANNEL

621

C.7 dB APPLIED TO THE VOICE CHANNEL

The decibel is used to quantify gains and losses across a telecommunication network. The most common and ubiquitous end-to-end highway across that network is the voice channel (VF channel). A voice channel conjures up in our minds an analog channel, something our ear can hear. The transmit part (mouthpiece) of a telephone converts acoustic energy emanating from a human mouth to electrical energy, an analog signal. At the distant end of that circuit an audio equivalent of that analog energy is delivered to the receiver (earpiece) of the telephone subset with which we are communicating. This must also hold true for the all-digital network.

When dealing with the voice channel, there are a number of special aspects to be considered by the transmission engineer. In this section we will talk about these aspects regarding frequency response across a well-defined voice channel. We will be required to use dBs, dB-derived units, and numeric units.

The basic voice channel is that inclusive band of frequencies where loss with regard to frequency drops 10 dB relative to a reference frequency.1 There are two slightly different definitions of the voice channel, North American and CCITT:

North America: 200 Hz to 3300 Hz (reference frequency, 1000 Hz); CCITT: 300 Hz to 3400 Hz (reference frequency, 800 Hz).

We sometimes call this the nominal 4-kHz voice channel; some others call it a 3-kHz channel. (Note: There is a 3-kHz channel, to further confuse the issue; it is used on HF radio and some old undersea cable systems.)

To introduce the subject of a “flat” voice channel and a “weighted” voice channel we first must discuss some voice channel transmission impairments. These are noise and amplitude distortion.

We all know what noise is. It annoys the listener. At times it can be so disruptive that intelligent information cannot be exchanged or the telephone circuit drops out and we get a dial tone. So we want to talk about how much noise will annoy the average listener.

Amplitude distortion is the same as frequency response. We define amplitude distortion as the variation of level (amplitude) with frequency across a frequency passband or band of interest. We often quantify amplitude distortion as a variation of level when compared to the level (amplitude) at the reference frequency. The two common voice channel reference frequencies are noted in the preceding list.

To further describe amplitude distortion, let us consider a hypothetical example. At a test board (a place where we can electrically access a voice channel) in New York we have an audio signal generator available, which we will use to insert audio tones at different frequencies. At a similar test board in Chicago we will measure the level of these frequencies in dBm. The audio tones inserted in New York are all inserted at a level of −16 dBm, one at a time. In Chicago we measure these levels in dBm. We find the level at 1000 Hz to be +7 dBm, our reference frequency. We measure the 500-Hz tone at +3 dBm; 1200-Hz tone at +8 dBm; 2000-Hz tone +5 dBm, and the 2800-Hz tone at 0 dBm. Any variation of level from the 1000-Hz reference value we may call amplitude distortion. At 2800 Hz there was 7 dB variation. Of course, we can expect some of the worst-case excursion at band edges, which is usually brought about by filters or other devices that act like filters.

1This value applies when looking toward the subscriber from the local serving exchange. Looking into the network from the local serving exchange the value drops to 3 dB.

622 LEARNING DECIBELS AND THEIR APPLICATIONS

Figure C.1 Line weightings for telephone (voice) channel noise.

The human ear is a filter, as is the telephone receiver (earpiece). The two are in tandem, as we would expect. For the telephone listener, noise is an annoyance. Interestingly we find that noise annoys a listener more near the reference frequencies of a voice channel than at other frequencies. When using the North American 500-type telephone set with average listeners, a simple 0-dBm tone at 1000 Hz causes a certain level of annoyance. To cause the same level of annoyance, a 300-Hz tone would have to be at a level of about +17 dBm; a 400-Hz tone at about +11.5 dBm; a 600-Hz tone at about +4 dBm, and a 3000-Hz tone also at about +4 dBm for equal annoyance levels for a population of average listeners.

The question arose of why should the transmission engineer be penalized in design of a system for noise of equal level across the voice channel? We therefore have “shaped” the voice channel as a function of frequency and “annoyance.” This shaping is called a weighting curve.

For the voice channel we will be dealing with two types of weighting: (1) C-message, used in North America, and (2) psophometric weighting as recommended by CCITT. Figure C.1 shows these weighting curves.

Weighting networks have been developed to simulate the corresponding response of C-message and psophometric weighting. Now we want to distinguish between flat response and weighted response. Of course, the curves in Figure C.1 show weighted response. Flat response, regarding a voice channel, has a low-pass response down 3 dB at 3 kHz and rolls off at 12 dB per octave. An octave means twice the frequency, so that it would be down 15 dB at 6 kHz and 27 dB at 12 kHz, and so on.

The term flat means equal response across a band of frequencies. Suppose a flat network has a loss of 3 dB. We insert a broad spectrum uniform signal at the input to the network. In the laboratory we generally use “white noise.” White noise is a signal that contains components of all frequencies inside a certain passband. We now measure the output of our network at discrete frequencies and at whatever frequency we measure

C.7 dB APPLIED TO THE VOICE CHANNEL

623

the output, the level is always the same. Figure C.1 shows frequency responses that are decidedly not flat.

We return now to the problem of noise in the voice channel. If the voice channel is to be used for speech telephony, which most of them are, then we should take into account the annoyance factor of noise to the human ear. Remember, when we measure noise in a voice channel, we look at the entire channel. Our noise measurement device reads the noise integrated across the channel. As we said, certain frequency components (around 800 Hz or 1000 Hz) are more annoying to the listener than other frequency components. It is because of this that we have developed a set of noise measurement units that are weighted. There are two such units in use today:

1. C-message weighting, which uses the unit dBrnC; and

2. Psophometric weighting, which more commonly uses the numeric unit, the picowatt (pWp) psophometrically weighted.

One interesting point that should be remembered is that the lowest discernible signal that can be heard by a human being is −90 dBm (800 or 1000 Hz).

Another point is that it was decided that all weighted (dB derived) noise units should be positive (i.e., not use a negative sign). First, remember these relationships:

1 W c 1012 pW c 109 mW

1 pW c 1 × 10−12 W c 1 × 10−9 mW c −90 dBm.

A weighted channel has less noise power than an unweighted channel if the two channels have identical characteristics. C-message weighting has about 2 dB less noise than a flat channel; a psophometric weighted channel has 2.5 dB less noise than a flat channel.

Figure C.2 may help clarify the concept of noise weighting and the noise advantage it can provide. The figure shows the C-message weighting curve. Idealized flat response is the heavy straight line at the arbitrary 0-dB point going right and left from 200 Hz to 3300 Hz. The hatched area between that line and the C-message response curve we may call the noise advantage (our terminology). There is approximately 2-dB advantage for C-message weight over flat response. If it were psophometric weighting, there would be a 2.5-dB advantage.

The dBrnC is the weighted noise measurement unit used in North America. The following are useful relationships:

0 dBrnC c −92 dBm (with white noise loading of entire voice channel).

Think about this:

0 dBrnC c −90 dBm (1000 − Hz toned).

Figures C.1 and C.2 show the rationale.

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