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Sec. 4–19 Study-Aid Examples 303<br />

The highest frequency in the down-converted signal (at the sampler input) is B = (f c + B T 2) - f 0 =<br />

f c + B T 2 - f c + B T 2 = B T , and the lowest frequency (in the positive-frequency part of the downconverted<br />

signal) is (f c - B T 2) - f 0 = f c - B T 2 - f c + B T 2 = 0. Using Eq. (2–168), we find that<br />

the minimum sampling frequency is<br />

(f s ) min = 2B T Method II<br />

(4–131)<br />

when the frequency of the LO is chosen to be f 0 = f c - B T 2. For this choice of LO frequency,<br />

the bandpass filter becomes a low-pass filter with a cutoff frequency of B T . Note that Method<br />

II gives a drastic reduction in the sampling frequency (an advantage) compared with Method I.<br />

For example, if f c = 100 MHz and B T = 1 MHz, then the minimum sampling frequency is now<br />

(f s ) min = 2 MHz, instead of the 201 MHz required in Method I. However, Method II requires<br />

the use of a down converter (a disadvantage). Note also that (f s ) min of Method II, as specified<br />

by Eq. (4–131), satisfies the (f s ) min given by the bandpass sampling theorem, as described by<br />

Eq. (4–31).<br />

Method II is one of the most efficient ways to obtain samples for a bandpass signal.<br />

When the bandpass signal is reconstructed from the sample values with the use of Eq. (2–158)<br />

and (2–160), the down-converted bandpass signal is obtained. To obtain the original bandpass<br />

signal s(t), an up-converter is needed to convert the down-converted signal back to the original<br />

bandpass region of the spectrum.<br />

Method II can also be used to obtain samples of the quadrature (i.e., I and Q) components<br />

of the complex envelope. From Fig. 4–32b, the IF signal at the input to the sampler is<br />

v IF (t) = x(t) cos v IF t - y(t) sin v IF t<br />

where f IF (t) = B T 2. Samples of x(t) can be obtained if v IF (t) is sampled at the times corresponding<br />

to cos v IF t = ±1 (and sin v IF t = 0). This produces B T samples of x(t) per second. Likewise,<br />

samples of y(t) are obtained at the times when sin v IF t = ±1 (and cos v IF t = 0). This produces B T<br />

samples of y(t) per second. The composite sampling rate for the clock is f s = 2B T . Thus, the sampler<br />

output contains the following sequence of I and Q values: x, -y, -x, y, x, -y, ... The sampling<br />

clock can be synchronized to the IF phase by using carrier synchronization circuits. Method III<br />

uses a similar approach.<br />

Method III From Fig. 4–32c, Method III uses in-phase (I) and quadrature-phase (Q) product<br />

detectors to produce the x(t) and y(t) quadrature components of s(t). (This was discussed in<br />

Sec. 4–16 and illustrated in Fig. 4–31.) The highest frequencies in x(t) and y(t) are B = B T 2.<br />

Thus, using Eq. (2–168), we find that the minimum sampling frequency for the clock of the I<br />

and Q samplers is<br />

(f s ) min = B T (each sampler) Method III<br />

(4–132)<br />

Because there are two samplers, the combined sampling rate is (f s ) min overall = 2B T . This also<br />

satisfies the minimum sampling rate allowed for bandpass signals as described by Eq. (4–31).<br />

Thus, Method III (like Method II) gives one of the most efficient ways to obtain samples of<br />

bandpass signals. For the case of f c = 100 MHz and B T = 1 MHz, an overall sampling rate of<br />

2 MHz is required for Method III, which is the same as that obtained by Method II. Because IQ<br />

samples have been obtained, they may be processed by using DSP algorithms to perform

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