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AD6640ST/PCB 数据表(PDF) 21 Page - Analog Devices |
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AD6640ST/PCB 数据表(HTML) 21 Page - Analog Devices |
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21 / 25 page ![]() AD6640 –20– REV. A The signal-to-noise ratio (SNR) for an ADC can be predicted. When normalized to ADC codes, the following equation accurately predicts the SNR based on jitter, average DNL error, and thermal noise. Each of these terms contributes to the noise within the converter. SNR Ft rms V ANALOG NOISE rms = + + + () – log / 20 2 1 22 2 12 2 12 2 12 π ε J where: FANALOG = analog input frequency t J rms =rms jitter of the ENCODE (rms sum of ENCODE source and internal ENCODE circuitry) ε = average DNL of the ADC (typically 0.51 LSB) VNOISE rms =V rms thermal noise referred to the analog input of the ADC (typically 0.707 LSB) Processing Gain Processing gain is the improvement in signal-to-noise ratio (SNR) gained through oversampling and digital filtering. Most of this processing gain is accomplished using the channelizer chips. These special purpose DSP chips not only provide channel selec- tion and filtering but also a data rate reduction. The required rate reduction is accomplished through a process called decimation. The term decimation rate is used to indicate the ratio of input data rate to output data rate. For example, if the input data rate is 65 MSPS and the output data rate is 1.25 MSPS, then the decimation rate is 52. Large processing gains may be achieved in the decimation and filtering process. The purpose of the channelizer, beyond tuning, is to provide the narrow-band filtering and selectivity that tradi- tionally have been provided by the ceramic or crystal filters of a narrow-band receiver. This narrow-band filtering is the source of the processing gain associated with a wide band receiver and is simply the ratio of the pass-band to whole band expressed in dB. For example, if a 30 kHz AMPS signal is being digitized with an AD6640 sampling at 65 MSPS, the ratio would be 0.015 MHz/32.5 MHz. Expressed in log form, the processing gain is –10 × log (0.015 MHz/32.5 MHz) or 33.4 dB. Additional filtering and noise reduction techniques can be achieved through DSP techniques; many applications do use additional process gains through proprietary noise reduction algorithms. Overcoming Static Nonlinearities with Dither Typically, high resolution data converters use multistage tech- niques to achieve high bit resolution without large comparator arrays that would be required if traditional “flash” ADC techniques were employed. The multistage converter typically provides better wafer yields meaning lower cost and much lower power. However, since the AD6640 is a multistage device, certain por- tions of the circuit are used repetitively as the analog input sweeps from one end of the converter range to the other. Although the worst DNL error may be less than an LSB, the repetitive nature of the transfer function can play havoc with low level dynamic signals. Spurious signals for a full-scale input may be –80 dBc. At 36 dB below full scale, however, these repetitive DNL errors may cause spurious-free dynamic range (SFDR) to fall below 80 dBFS as shown in TPC 14. A common technique for randomizing and reducing the effects of repetitive static linearity is through the use of dither. The purpose of dither is to force the repetitive nature of static linear- ity to appear as if it were random. Then, the average linearity over the range of dither will dominate SFDR performance. In the AD6640, the repetitive cycle is every 15.625 mV p-p. To ensure adequate randomization, 5.3 mV rms is required; this equates to a total dither power of –32.5 dBm. This will randomize the DNL errors over the complete range of the residue converter. Although lower levels of dither such as that from previous analog stages will reduce some of the linearity errors, the full effect will only be gained with this larger dither. Increasing dither even more may be used to reduce some of the global INL errors. However, signals much larger than the mVs proposed here begin to reduce the usable dynamic range of the converter. Even with the 5.3 mV rms of noise suggested, SNR would be limited to 36 dB if injected as broadband noise. To avoid this problem, noise may be injected as an out-of-band signal. Typically, this may be around dc but may just as well be at fS/2 or at some other frequency not used by the receiver. The bandwidth of the noise is several hundred kilohertz. By band-limiting and control- ling its location in frequency, large levels of dither may be intro- duced into the receiver without seriously disrupting receiver performance. The result can be a marked improvement in the SFDR of the data converter. TPC 17 shows the same converter shown earlier but with this injection of dither (see TPC 14). AD600 A A REF 2.2k 1 F 0.1 F 39 390 16k +15V NC202 NOISE DIODE (NoiseCom) +5V –5V 1k 2k OP27 OPTIONAL HIGH POWER DRIVE CIRCUIT LOW CONTROL (0V–1V) Figure 30. Noise Source (Dither Generator) The simplest method for generating dither is through the use of a noise diode (Figure 30). In this circuit, the noise diode NC202 generates the reference noise that is gained up and driven by the AD600 and OP27 amplifier chain. The level of noise may be controlled by either presetting the control voltage when the system is set up, or by using a digital-to-analog converter (DAC) to adjust the noise level based on input signal conditions. Once generated, the signal must be introduced to the receiver strip. The easiest method is to inject the signal into the drive chain after the last down conversion as shown in Figure 31. |
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