Center for the Built Environment

A signal processing algorithm for a pulsed type ultrasonic anemometer is described.  The measurement principle  is based  on  the  linear  relationship between the  inverse transit  time  difference  (ITD)   and  air   velocity.   The algorithm uses two phases of Fast Fourier Transforms (FFrs). Computer simulations demonstrate   the   high performance of this algorithm.  Its advantages over other pulsed type algorithm are discussed.

A signal processing algorithm for a pulsed type ultrasonic anemometer is described.  The measurement principle  is based  on  the  linear  relationship between the  inverse transit  time  difference  (ITD)   and  air   velocity.   The algorithm uses two phases of Fast Fourier Transforms (FFrs). Computer simulations demonstrate   the   high performance of this algorithm.  Its advantages over other pulsed type algorithm are discussed.