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ADIS16006/PCB 数据表(PDF) 13 Page - Analog Devices |
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ADIS16006/PCB 数据表(HTML) 13 Page - Analog Devices |
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13 / 16 page ![]() ADIS16006 Rev. 0 | Page 13 of 16 SETTING THE BANDWIDTH The ADIS16006 has provisions for band limiting the acceler- ometer. Capacitors can be added at the XFILT and YFILT pins to implement further low-pass filtering for antialiasing and noise reduction. The equation for the 3 dB bandwidth is F−3dB = 1/(2π(32 kΩ) × (C(XFILT, YFILT) + 2200 pF)) or more simply, F−3dB = 5 μF/(C(XFILT, YFILT) + 2200 pF) The tolerance of the internal resistor (RFILT) can vary typically as much as ±25% of its nominal value (32 kΩ); thus, the bandwidth varies accordingly. A minimum capacitance of 0 pF for CXFILT and CYFILT is allowable. Table 9. Filter Capacitor Selection, CXFILT and CYFILT Bandwidth (Hz) Capacitor (μF) 1 4.7 10 0.47 50 0.10 100 0.047 200 0.022 400 0.01 2250 0 SELECTING FILTER CHARACTERISTICS: THE NOISE/BANDWIDTH TRADE-OFF The accelerometer bandwidth selected ultimately determines the measurement resolution (smallest detectable acceleration). Filtering can be used to lower the noise floor, which improves the resolution of the accelerometer. Resolution is dependent on the analog filter bandwidth at XFILT and YFILT. The ADIS16006 has a typical bandwidth of 2.25 kHz with no external filtering. The analog bandwidth may be further decreased to reduce noise and improve resolution. The ADIS16006 noise has the characteristics of white Gaussian noise, which contributes equally at all frequencies and is described in terms of μg/√Hz (that is, the noise is proportional to the square root of the accelerometer’s bandwidth). The user should limit bandwidth to the lowest frequency needed by the applica- tion to maximize the resolution and dynamic range of the accelerometer. With the single pole roll-off characteristic, the typical noise of the ADIS16006 is determined by rmsNoise = (200 μg/root Hz) x (root (BW x 1.57)) At 100 Hz, the noise is rmsNoise = (200 μg/root Hz) x (root (100 x 1.57)) =2.5 mg Often, the peak value of the noise is desired. Peak-to-peak noise can be estimated only by statistical methods. Table 10 is useful for estimating the probabilities of exceeding various peak values, given the rms value. Table 10. Estimation of Peak-to-Peak Noise Peak-to-Peak Value Percentage of Time That Noise Exceeds Nominal Peak-to-Peak Value 2 × rms 32% 4 × rms 4.6% 6 × rms 0.27% 8 × rms 0.006% 12 4 10 11 6 5 8 9 7 3 2 1 8 9 7 3 2 1 12 4 10 11 6 5 Top View Not to Scale DIGITAL OUTPUT (IN LSBs) X-AXIS: 1792 Y-AXIS: 2048 DIGITAL OUTPUT (IN LSBs) X-AXIS: 2304 Y-AXIS: 2048 DIGITAL OUTPUT (IN LSBs) X-AXIS: 2048 Y-AXIS: 2304 DIGITAL OUTPUT (IN LSBs) X-AXIS: 2048 Y-AXIS: 1792 DIGITAL OUTPUT (IN LSBs) X-AXIS: 2048 Y-AXIS: 2048 Figure 23. Output Response vs. Orientation |
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