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a noise oor of: Noise = 500 g Hz ( 200 15) rms Noise = 85 mg rms or 34 mg peak-to-peak of noise (using a peak-to-peak to rms ratio of 4:1), well within our 75 mg requirement For reliability purposes, we would like to have a noise oor about 10 times lower than this, or around 8 mg Since towing a car takes at least a few seconds, we are free to narrow the bandwidth to lower the noise oor An analog or digital low pass lter may be used, but since low pass ltering in the digital domain is very simple, it is the preferred method By taking the average of 16 samples we reduce the effective bandwidth to 125 Hz (200 Hz/16 samples) The resulting noise performance is approximately 87 mg peak-to-peak, close enough to our target Lowering the noise oor even further, by taking up to 128 samples for example, would result in about 3 mg peak-to-peak of noise, which would allow us to easily detect the 15 mg of static acceleration resulting from a change in tilt of less than a degree The typical zero g drift due to temperature for the ADXL202 is 2 mg/ C Since our trigger point for a tilt alarm could be as low as 15 mg, it is conceivable that temperature drift alone would cause a false alarm (a car parked overnight could easily experience more than 75 C in ambient temperature change) Therefore we will include a differentiator to reject temperature drift In the event of the car being jacked up or lifted for towing, we would expect the rate of change in tilt to be faster than ve degrees or 75 mg per minute (or 125 mg per second) Each time the acceleration is measured it is compared to the previous reading If the change is less than 125 mg per second we know that the change in accelerometer output is due to temperature drift We can now add an auto-zero block that adjusts our zero g reference (that is the static acceleration sensed when the car was initially parked) to compensate for zero g drift due to temperature Shock Sensing Generally for automotive shock/vibration sensing we are interested in signals between 10 and 200 Hz Since the response of the ADXL202 extends from DC to 5 kHz, a band pass lter will have to be added to remove out of band signals This band pass lter is most easily implemented in the analog domain (Figure 1566 shows a simple 10 Hz high pass lter) When coupled with the 200 Hz low pass lter (from X lt and Y lt on the ADXL202), a 10 to 200 Hz bandpass lter is realized.

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While analog bandpass ltering is very simple and requires no software overhead from the microcontroller, it does necessitate having an analog to

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digital converter Today, even low cost microcontrollers can commonly be found, integrating an A to D converter on board Bandpass ltering in the digital domain may be more effective, but may require a more powerful processor than one normally nds in automobile security systems There are several methods for implementing band pass lters in the digital domain Speci c recommendations will not be given here since processor selection will in uence what method will be most ef cient Whether a digital or analog bandpass lter is used, the Nyquist criteria for signal sampling must be satis ed That is that we must sample at least twice the maximum frequency of interest Sampling at 400 Hz (for our 200 Hz pass band) gives us one sample every 25 ms Our very simple software integrator will take the sum of the absolute value of 16 samples and evaluate if there is suf cient energy in that 40 ms period of time to warrant setting off the alarm (ie, is the sum of 16 samples greater than some set point) It is assumed that no events will be missed in 40 ms Design Trade-Offs The ADXL202 has digital (Pulse Width Modulated) as well as analog (312 mV/g) outputs In theory, either output may be used Using the PWM interface for tilt sensing is recommended for two reasons: 1 We are interested in very small acceleration signals (on the order of 3 mg) This would correspond to approximately 94 mV Probably not resolvable by the on board A to D converter of any microcontroller likely to be used in this application The resolution of the pulse width modulator of the ADXL202 is around 14 bits, and is suf cient for resolution of 3 mg acceleration signals 2 All signal processing will be done in the digital domain An analog interface for the shock/vibration sensor is recommended since, as previously mentioned, bandpass ltering in the digital domain may be beyond the capability of many microcontrollers In addition using the PWM interface to acquire 200 Hz bandwidth requires that the PWM frequency be at least 4 kHz 10 bit resolution implies that the microcontroller have a timer resolution of approximately 250 ns Once again, probably beyond the capability of most microcontrollers.

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