DDS design
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You find DDSs (direct digital synthesizers) in applications such as radios, instrumentation, and radar systems. Though large and unpredictable spurious responses have troubled old designs, innovations have improved DDS performance, and the worstcase spurs are now smaller and predictable. Careful frequency planning allows you to place the worstcase spurs outside the bandwidth of interest, so you can easily filter them.
Most DDS applications use only a fraction of their output spectrum and attenuate the remainder with external filters. The bandwidth of interest is typically from 0 Hz to about 40% of the sampling frequency. The subNyquist limitation is due to the transition band of the external imagerejection filter. Some applications can use the image band and eliminate an upconversion stage, but the reduced power in the image lowers the SNR. Image use also requires bandpass filtering rather than a lowpass filter. The DAC's zeroorder sampleandhold imparts a Sinc (sin(x)/x) attenuation envelope to the fundamental, images, and harmonics in the DDS spectrum.
A DDS has four principal spur sources: the reference clock, truncation in the phase accumulator, angletoamplitude mapping errors, and DAC error terms, including nonlinearities and quantization noise (Figure 1). The spur frequencies' predictability allows you to develop an effective frequency plan.
Reference clock
A DDS functions like a highresolution frequency divider with the reference clock as its input and the DAC as its output. The spectral characteristics of the reference clock directly impact those of the output. Though phase noise and spurs on the reference clock also appear at the DAC output, they do so at a reduced magnitude due to the frequency division. The improvement, expressed in decibels, is 20 log(N), where N is the ratio of input to output frequencies. For example, two trials dividing a 300MHz clock down to 80 and 5 MHz result in a difference in their phasenoise plots of 20 log(16)=24 dB (Figure 2). The DDS's internal referenceclock path is the dominant contributor of phase noise from the DDS.
Modulating the clock amplitude generates spurs in its output spectrum. A 400MHz RF carrier with 10% AM (amplitude modulation) by a 100kHz sinewave signal demonstrates the effect you see at the reference clock and 10.119MHz DDS outputs (Figure 3). The figure, which superimposes the referenceclock and DACoutput spectra, shows the amplitude reduction in AM clock spurs at the DDS output. The attenuation calculation, 20 log (400 MHz/10.119 MHz), predicts a 32dB improvement, although the plot shows more. The additional spur attenuation is due to the fact that the modulated sine wave of the referenceclock signal encounters a limiter or squaring circuit at the DDS input. The limiter stage converts the sine wave to a square wave, and the AM spurs are thus converted to PM (phase modulation) spurs. The AMtoPM conversion results in an additional attenuation of spurs that depends on the characteristics of the limiter circuit but is typically on the order of –6 dB.
The quality of the reference clock imposes limits on DDS performance in ways that are often recognizable. The reference clock usually causes those DDS spurs that maintain their relationship to the carrier as you change the output frequency. Also, there is some degree of noise at the input of any circuit. A highslewrate reference clock spends less time traversing the region where noise can cause jitter.
Phase truncation
Consider a DDS with a 32bit phase accumulator. If the design maintained all 32 bits throughout, the DDS core would occupy a large die area and dissipate significant power. Truncating the value from the phase accumulator—that is, passing only the accumulator's most significant bits to the angletoamplitude mapper—reduces the power dissipation and die area as well as the phase resolution of the angletoamplitude mapper.
The DDS's phasetruncation spur mechanism models as a noise source summed with an otherwiseideal synthesizer (Figure 4). The example truncates a 20bit phase accumulator to 8 bits. T is the phase accumulator's tuningword width. Each update of the reference clock adds the value of T to the accumulator output. The output is divided into two sections, the truncated phase word, P, which is sent to the mapper, and the discarded bits, M=T–P. As the value in the discarded section accumulates, it eventually overflows into the truncated phase word. One effect of this overflow is production of phasemodulation spurs. A second effect is that those overflows maintain the fullfrequency resolution of T. Note, if no bits in the discarded portion are set to logic one, then no phasetruncation spurs occur.
Phasetruncation spurs are proportional to the LSB weight in the phase word and, therefore, are not typically issues. Conversely, in applications in which a DDS drives a PLL, phasetruncation spurs within the loop bandwidth of the PLL will be amplified by 20 log(N) dB, where N is the PLLmultiplication factor. The accumulator's phaseword output should be 3 or more bits wider than the DAC resolution suggests. You can calculate the worstcase spurious magnitude attributable to the phaseword width as –6.02P dBc, where P is the number of bits in the phase word. So, a 12 to 19bit phase resolution produces a –72 to –114dBc spurious magnitude.
The tuningword width, its fraction disposed of through truncation, and the referenceclock frequency combine to reveal the frequency offset of the truncationspur phasemodulated sidebands.
EQUATION 1
where f_{S} is the spur offset frequency, f_{REF} is the referenceclock output frequency, M is the decimal value of the discarded bits, and N is the number of discarded bits.
These sidebands appear on both sides of the fundamental. If the offset frequency is greater than the output frequency or greater than the difference between the output and the Nyquist frequencies, the sidebands fold around dc, Nyquist, or both.
Figure 5 shows phasetruncation spurs that were generated from a DDS with 14bit phase resolution and a 32bit tuning word. The first phasetruncation sideband spurs are approximately –84 dBc, as you would expect from the equation –6.02P. Here, the phase word is 4 bits above the DAC resolution of 10 bits. A 19bit phase word would place the theoretical magnitudes of phasetruncation spurs at around –114 dBc.
Angletoamplitude mapping
DDS designs can implement the phasetoamplitude block algorithmically—which reduces die area and power consumption—or as a ROM lookup table. The algorithmic approach enhances hardware efficiency, but its approximations may generate higher spur levels.
The phasetoamplitude conversion of a timesampled sine wave is
EQUATION 2
where Va_{i} is the sample amplitude, Vp is half of the DAC's fullscale voltage, and _{i} is the value of the sample's phase word.
It's unlikely that the Va_{i} that the system calculates corresponds exactly to a DAC code, so the DDS selects the nearest code, resulting in a residual error. If the phase word has too few bits, the Va_{i} calculation may skip over DAC codes (Figure 6). Conversely, retaining more bits in the phase word reduces these errors (Figure 7). To guarantee that all DAC codes are available to the phasetoamplitude converter, a good rule of thumb is to set the phase word to a minimum of 3 bits wider than the DAC. The red trace in Figure 7 represents the amplitude error signal resulting from the DAC's finite resolution. It indicates the difference between Va_{i} and the actual DAC codes. A Fourier transform of this timedomain plot would display a corresponding spectral plot with discernible frequency spurs. You can interpret the error as a modulating signal acting on the sine wave (blue trace). You can determine the resulting spurs' frequency locations and approximate their amplitudes, although the amplitudes are subject to some architectural dependencies. In some DDSs, the amplitude of the worstcase spurs ranges from –12 to –24 dB below the DACquantizationnoise level. The quantization noise (SNR) is proportional to the DAC resolution:
EQUATION 3
where N is the DAC resolution in bits.
A normalized spectral plot of a simulated lookuptable based DDS displays the spurious response that the amplitudeerror signal causes (Figure 8). The plot includes no DACerror effects. The DDS tuning word is 32 bits, the phase word is 19 bits, the reference clock is 100M samples/sec, and the DAC resolution is 10 bits. The tuning word is 30002000H, which results in a carrier frequency of 18.75021876 MHz. The stairstep spectrum results from the amplitudeerror signal modulating the carrier. The dominant, or worstcase, spurs are offset approximately ±700 kHz from the carrier with this tuning word. Their location depends on the tuning word and the DDS architecture. Their power level is below the DAC's expected SNR, which is a goal of the design. A DAC with greater resolution would decrease the magnitudes of these spurs. A similar DDS implemented with an algorithmic sine mapper instead of the ROMbased structure produces a similar spectrum (Figure 9).
Instead of performing a Fourier transform of the amplitudeerror signal, a relatively simple method determines the frequency of the most prominent spurs for a given tuning word. This method uses a test tuning word with only one bit set. The resulting spectrum consists of the test carrier and its spurs, the offsets and spacings of which harmonically relate to the carrier frequency. The spectral region where these spurs reside is
EQUATION 4
where b represents the location of the single bit asserted in the tuning word, and n is the DAC resolution in bits. This analysis method proceeds through nine steps:

Accurately measure and record the referenceclock frequency, f_{REF}, to a ±1Hz tolerance.

Counting from the MSB of the tuning word, assert only the bth bit. The bth bit is defined as bth≥n+8; that is, if the DAC width is 10 bits, then set 18th bit or higher counting from the MSB.

Calculate the tuningword frequency, f_{C}, from f_{REF} and the tuning word.

Use Equation 4 to locate the frequency region of the prominent spurset to measure. Note that the spacing between these sets of spurs is two times the tuningword frequency.

Measure and record the frequency of each individual spur in the worstcase set.

Individually divide the frequencies of the worstcase spur set by the tuning word. Round the results to the nearest whole number. The results will probably be consecutive odd numbers.

These results of Step 6 are harmonically related to the tuning word. When you change the tuning word, predict the locations of the corresponding spurs by multiplying the new tuning word by each value in Step 6.

Terms from Step 7 greater than Nyquist, f_{REF}/2 will alias. To locate the alias if the product is above Nyquist but below f_{REF}, subtract the f_{REF} from the product; the difference is where the alias resides. To locate the alias if the product is above f_{REF}, divide by f_{REF} and analyze the remainder of the quotient. If the remainder is below 0.5, multiply it by f_{REF} Otherwise, subtract it from 1 and then multiply by f_{REF}

Repeat steps 7 and 8 for every value found in Step 6.
Plots of the AD9850/51 DDS demonstrate how these calculations find the worstcase angletoamplitude spurs as a function of the tuning word. In this case, the f_{REF} is 100 MHz (Figure 10). The tuning word has only the 18th bit set from the MSB in the top plot and is 30002000H in the bottom plot. The arrows show how the spurs redistribute. For the AD9850, the worstcase spur set includes the 3211th, 3213th, 3215th, 3217th, 3219th, 3221th harmonics of the tuning word.
Quantization noise, DAC nonlinearities
A DAC's quantization noise and distortion determine its SNR. You can calculate a firstorder approximation of SNR by taking the ratio between the quantizationnoise power, integrated over the Nyquist bandwidth, and the power in the fundamental. As a result, SNR is proportional to the DAC resolution in bits, as given in Equation 3. This SNR calculation describes an ideal DAC. Real DACs also have nonlinearities due to process mismatches and imperfect bitweight scaling. Nonideal switching characteristics also add distortion and nonlinearity.
The most prominent DAC spurs are usually due to nonideal switching characteristics, which, along with any nonlinearity in the transfer function, appear as lower order harmonics of the fundamental. Both quantization noise and the nonideal DAC properties produce a response that consists of harmonically related spurs of the fundamental. This relationship is the key to understanding how to predict the frequency location of the prominent spurs.
Harmonics alias because the DAC is a timesampled system. As a result, the carrier's harmonics, the reference clock, and the reference clock's harmonics create numerous sum and differencemixing products. The welldefined mathematical relationship of these products makes predicting the spur locations possible. Harmonics beyond the first Nyquist zone are mapped back to the first Nyquist zone (Figure 11).
For example, a DDS tuned to 25.153 MHz with a reference clock of 100M samples/sec generates loworder odd harmonics close to the fundamental (Figure 12). Once the harmonic series exceeds the Nyquist frequency, they alias back into the first Nyquist zone in a predictable way (difference product). This DDS has a 14bit DAC. The SFDR (spuriousfree dynamic range) within the 4MHz bandwidth is better than –73 dBc. Increased oversampling—by raising f_{REF} to 400M samples/sec—eliminates the alias products of the third, fifth, and seventh harmonics within the first Nyquist zone.
Significant benefits arise in DDS applications from running the DDS and comparator at a simple subharmonic of the reference clock. These benefits include reduced jitter and a simpler reconstruction filter. Because f_{REF} and f_{C} are related by an integer ratio, the DAC quantization noise and spurs caused by other error sources fall exactly on top of the harmonics of f_{C}. In such cases, harmonics don't produce jitter, because they are phasecoherent with the carrier.
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