Fast algorithms for duty cycle measurement with random sampling technique

ABSTRACT

This paper proposes new algorithms for the duty cycle measurement of a digital pulse train signal, by exploiting a random sampling technique. All the proposed solutions are low complex algorithms and of easily implementation, also in very busy and low resources microcontrollers. The behavior of the algorithms has been studied by means of simulations. The obtained results show a fast convergence to the duty cycle value: in particular, a considerable gain in terms of mean number of samples necessary to evaluate the duty cycle with a desired accuracy is obtained thanks to one of the proposed algorithms, with respect to other solutions based on random sampling technique.

REFERENCES

• 1: http://www.analog.com, TMP0/TMP04 Data Sheet.
• 2: P. C. de Jong, F. N. Toth, "Measuring Duty Cycles with an Intel MCS-51 Microcontroller".
• 3: R. Z. Bhatti, M. Denneau, J. Draper, "Duty Cycle Measurement and Correction Using a Random Sampling Technique". Proceedings of the 48th IEEE International Midwest Symposium on Circuits and Systems, August 2005.
• 4: Spiegel, Shiller, Srinivasan, "Theory and Problems of Probability and Statistics", McGraw Hill.
• 5: John Lach, David Evans, Jon McCune, Jason Brandon. "Power-Efficient Adaptable Wireless Sensor Networks", Military and Aerospace Programmable Logic Devices International Conference, 2003.

INDEX TERMS

Primary Classification:
  F. Theory of Computation
  F.0 GENERAL

General Terms:
Algorithms