AD9751
DVDD AVDD
CLK+ CLK– PLLLOCK
PLL/DIVIDER
PORT 1
DATA
INPUT
INPUT
LATCHES
IOUTA
DAC
PORT 2
DATA
INPUT
FSADJ
INPUT
LATCHES
IOUTB
AD9751
RSET2
1.9kâ€
REFIO ACOM1 ACOM DCOM
0.1â®F
50â€
50â€
0.1â®F
0.1â®F
68†68â€
INPP
INPM
OUTP
OUTM
LOIM
LOIP
AD8343 ACTIVE MIXER
LOINPUT
0.1â®F
0.1â®F
M/A-COM ETC-1-1-13 WIDEBAND BALUN
Figure 30. QAM Transmitter Architecture Using AD9751 and AD8343 Active Mixer
MARKER 1 [T2]
–100.59dBm
859.91983968MHz
–20
–30
–40
–50
–60
1
2
–70
RBW
VBW
SWT
10kHz RF ATT 0dB
10kHz
2.8 s UNIT dBm
1 [T2]
CH PWR
ACP UP
ACP LOW
1 [T2]
2 [T2]
–100.59bBm,
+859.91983968MHz
–64.88dBm
–62.26dBm
–7.38dBm
33.48dB
–49.91983968MHz
33.10dB
–49.91983968MHz
2MA
–80
–90
–100
C11
C11
–110
–120
CENTER 860MHz
1
Cu1
Cu1
C0
C0
11MHz/
SPAN 110MHz
COMMENT A: 25 MSYMBOL, 64 QAM CARRIER @ 825MHz
Figure 31. Signal of Figure 27 Mixed to Carrier
Frequency of 800 MHz
Effects of Noise and Distortion on Bit Error Rate (BER)
Textbook analysis of Bit Error Rate (BER) performance is
generally stated in terms of E (energy in watts-per-symbol or
watts-per-bit) and NO (spectral noise density in watts/Hz). For
QAM signals, this performance is shown graphically in Figure 32.
M represents the number of levels in each quadrature PAM signal
(i.e., M = 8 for 64 QAM, M = 16 for 256 QAM). Figure 32
implies gray coding in the QAM constellation, as well as the use
of matched filters at the receiver, which is typical. The
horizontal axis of Figure 32 can be converted to units of energy/
symbol by adding to the horizontal axis 10 log of the number of
bits in the desired curve. For instance, to achieve a BER of 1e-6
with 64 QAM, an energy per bit of 20 dB is necessary. To
calculate energy per symbol, add 10 log(6) or 7.8 dB. Therefore
64 QAM with a BER of 1e-6 (assuming no source or channel
coding) can theoretically be achieved with an energy/symbol-
to-noise (E/NO) ratio of 27.8 dB. Due to the loss and interferers
inherent in the wireless path, this signal-to-noise ratio must be
realized at the receiver to achieve the given bit error rate.
Distortion effects on BER are much more difficult to determine
accurately. Most often in simulation, the energies of the strongest
distortion components are root-sum-squared with the noise, and
the result is treated as if it were all noise. That being said, using
the example above of 64 QAM with the BER of 1e-6, if the E/NO
ratio is much greater than the worst-case SFDR, the noise will
dominate the BER calculation.
The AD9751 has a worst-case in-band SFDR of 47 dB at the
upper end of its frequency spectrum (see TPCs 2 and 3). When
used to synthesize high level QAM signals as described above,
noise, as opposed to distortion, will dominate its performance
in these applications.
1E0
1E–1
1E–2
1E–3
4 QAM 16 QAM
64 QAM
1E–4
1E–5
1E–6
0
5
10
15
20
SNR/BIT (dB)
Figure 32. Probability of a Symbol Error for QAM
–20–
REV. C