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AD9856/PCB 数据表(PDF) 18 Page - Analog Devices |
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AD9856/PCB 数据表(HTML) 18 Page - Analog Devices |
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18 / 32 page ![]() AD9856 –18– REV. B In applications requiring both a low data rate and a high output sample rate, a third HBF is available (HBF 3). Selection of HBF 3 offers an upsampling ratio of eight (8) instead of four (4). The combined frequency response of HBF 1, 2 and 3 is shown in Figure 30. Comparing the passband detail of HBF 1 and 2 with the passband detail of HBF 1, 2 and 3, it becomes evident that HBF 3 has virtually no impact on frequency re- sponse from 0 to 1 (where 1 corresponds to fNYQ). 7 DISPLAYED FREQUENCY IS RELATIVE TO I/Q NYQ. BW –30 –100 01 23 4 5 6 8 –40 –50 –60 –70 –80 –90 10 0 –10 –20 a. Half-Band 1, 2 and 3 Frequency Response DISPLAYED FREQUENCY IS RELATIVE TO I/Q NYQ. BW 1 –6 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 –1 –2 –3 –4 –5 0.9 1.0 b. Passband Detail Figure 30. Combined Frequency Response of HBF 1, 2 and 3 CASCADED INTEGRATOR-COMB (CIC) FILTER A CIC filter is unlike a typical FIR filter in that it offers the flexibility to handle differing input and output sample rates (only in integer ratios, however). In the purest sense, a CIC filter can provide either an increase or a decrease in sample rate at the output relative to the input, depending on the architec- ture. If the integration stage precedes the comb stage, the CIC filter provides sample rate reduction (decimation). When the comb stage precedes the integrator stage the CIC filter provides an increase in sample rate (interpolation). In the AD9856, the CIC filter is configured as an interpolator. In fact, it is a pro- grammable interpolator and provides a sample rate increase, R, such that 2 ≤ R ≤ 63. In addition to the ability to provide a change in sample rate between input and output, a CIC filter also has an intrinsic low- pass frequency response characteristic. The frequency response of a CIC filter is dependent on three factors: 1. The rate change ratio, R. 2. The order of the filter, N. 3. The number of unit delays per stage, M. It can be shown that the system function, H(z), of a CIC filter is given by: Hz z z z RM N k RM k N () – – – – – – = = = ∑ 1 1 1 0 1 The form on the far right has the advantage of providing a result for z = 1 (corresponding to zero frequency or dc). The alternate form yields an indeterminate form (0/0) for z = 1, but is other- wise identical. The only variable parameter for the AD9856’s CIC filter is R. M and N are fixed at 1 and 4, respectively. Thus, the CIC system function for the AD9856 simplifies to: Hz z z z R k R k () – – – – – – = = = ∑ 1 1 1 4 0 1 4 The transfer function is given by: Hf e e e jfR jf k R jfk () – – –( ) –( ) – –( ) = = = ∑ 1 1 2 2 4 0 1 2 4 π π π The frequency response in this form is such that f is scaled to the output sample rate of the CIC filter. That is, f = 1 corre- sponds to the frequency of the output sample rate of the CIC filter. H(f/R) will yield the frequency response with respect to the input sample of the CIC filter. Figure 31 reveals the CIC frequency response and passband detail for R = 2 and R = 63 and with HBF 3 bypassed. Figure 32 is similar but with HBF 3 selected. Note the flatter passband response when HBF 3 is employed. As with the case of the HBFs, consideration must be given to the frequency dependent attenuation that the CIC filter intro- duces over the frequency range of the data to be transmitted. Note that the CIC frequency response plots have fNYQ as their reference frequency; i.e., unity (1) on the frequency scale corre- sponds to fNYQ. If the incoming data that is applied to the AD9856 is oversampled by a factor of 2 (as required), then the Nyquist bandwidth of the applied data is one-half fNYQ on the CIC frequency response plots. A look at the 0.5 point on the passband detail plots reveals a worst case attenuation of about 0.25 dB (HBF 3 bypassed, R = 63). This, of course, assumes pulse shaped data with α = 0 (minimum bandwidth scenario). When a value of α = 1 is used, the bandwidth of the data corresponds to f NYQ (the point, 1.0 on the CIC frequency scale). Thus, the worst case attenuation for α = 1 is about 0.9 dB. |
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