scholarly journals Acoustic distance measurement method based on phase interference using the cross-spectral method

2013 ◽  
Vol 34 (3) ◽  
pp. 197-205 ◽  
Author(s):  
Masato Nakayama ◽  
Noboru Nakasako ◽  
Tetsuji Uebo ◽  
Manabu Fukushima
Keyword(s):  
Spectral Method ◽  
Measurement Method ◽  
Distance Measurement ◽  
Phase Interference ◽  
The Cross

Acoustic Distance Measurement Method Using 2ch Microphones Measurable from 0m Based on Phase Interference and Removal of DC Component

2015 ◽  
Vol 135 (11) ◽  
pp. 1349-1350
Author(s):  
Kazuhiro Suzuki ◽  
Noboru Nakasako ◽  
Masato Nakayama ◽  
Toshihiro Shinohara ◽  
Tetsuji Uebo
Keyword(s):  
Measurement Method ◽  
Distance Measurement ◽  
Phase Interference ◽  
Dc Component

Distance Measurement Method Effective from 0 m Using Phase Interference of Audible Sound

2014 ◽  
Vol 97 (8) ◽  
pp. 24-31
Author(s):  
Noboru Nakasako ◽  
Toshihiro Shinohara ◽  
Keiji Kawanishi ◽  
Tetsuji Uebo
Keyword(s):  
Measurement Method ◽  
Distance Measurement ◽  
Audible Sound ◽  
Phase Interference

Distance Measurement Method Measurable from 0m Using Phase Interference of Audible Sound

2012 ◽  
Vol 132 (11) ◽  
pp. 1749-1755
Author(s):  
Noboru Nakasako ◽  
Toshihiro Shinohara ◽  
Keiji Kawanishi ◽  
Tetsuji Uebo
Keyword(s):  
Measurement Method ◽  
Distance Measurement ◽  
Audible Sound ◽  
Phase Interference

Cross Calibration by FFT Equalization

1997 ◽  
Vol 119 (2) ◽  
pp. 236-242 ◽  
Author(s):  
K. Peleg
Keyword(s):  
Measurement Method ◽  
Functional Relationship ◽  
Measurement Methods ◽  
New Method ◽  
Measurement Systems ◽  
True Value ◽  
Calibration Problem ◽  
Regression Techniques ◽  
The Cross ◽  
Cross Calibration

The classical calibration problem is primarily concerned with comparing an approximate measurement method with a very precise one. Frequently, both measurement methods are very noisy, so we cannot regard either method as giving the true value of the quantity being measured. Sometimes, it is desired to replace a destructive or slow measurement method, by a noninvasive, faster or less expensive one. The simplest solution is to cross calibrate one measurement method in terms of the other. The common practice is to use regression models, as cross calibration formulas. However, such models do not attempt to discriminate between the clutter and the true functional relationship between the cross calibrated measurement methods. A new approach is proposed, based on minimizing the sum of squares of the differences between the absolute values of the Fast Fourier Transform (FFT) series, derived from the readings of the cross calibrated measurement methods. The line taken is illustrated by cross calibration examples of simulated linear and nonlinear measurement systems, with various levels of additive noise, wherein the new method is compared to the classical regression techniques. It is shown, that the new method can discover better the true functional relationship between two measurement systems, which is occluded by the noise.

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