As airborne, correlation-based, ultrasonic sensors are becoming more widely used for robotic applications, it becomes increasingly important to have a good understanding of how the transducer’s filtering properties affect the performance of the sensor system. Using well-known results from acoustics, a simple, yet accurate, filtermodel for the Polaroid transducer is described. In the course of this derivation the reason for the accuracy of the often used “moving piston” approximation is also clarified. This filtermodel is then used to analyze the characteristic “peak-doubling” from which the correlation based range sensor used in the tri-aural sensor suffers. The predicted errors are compared with actual measurements by the real sensor system and are found to be in good agreement. Finally, the use of broad beamwidth transducers to avoid these errors is proposed, and it is and argued that this approach has some distinct advantages compared to alternative solutions.

1.
H.
Everett
, “
Survey of collision avoidance and ranging sensors for mobile robots
,”
Robot. Auton. Syst.
5
,
5
67
(
1989
).
2.
C. Biber, S. Ellin, E. Shenk, and J. Stempeck, “The Polaroid ultrasonic ranging system,” in 67th Convention of the Audio Engineering Society (New York, October 1980).
3.
C. Delepaut, L. Vandendorpe, and C. Eugène, “Ultrasonic three-dimensional detection of obstacles for mobile robots,” in Proceedings of the 8th International Conference on Industrial Robot Technology (Brussels), 483–490 (1986).
4.
H. Peremans, K. Audenaert, and J. V. Campenhout, “A high-resolution sensor based on tri-aural perception,” IEEE Trans. Robot. Autom. 9, 36–48 (1993).
5.
L. Kleeman and R. Kuc, “Mobile robot sonar for target localization and classification,” Tech. Rep. Res. Rep. Ser. ISL-9301, Department of Electrical Engineering, Yale University, New Haven, Connecticut, September 1993.
6.
D.
Anke
, “
Luftschallwandler nach dem sell-prinzip fur frequenzen von 50 kHz bis 100 kHz
,”
Acustica
30
,
30
39
(
1974
).
7.
K. Audenaert, H. Peremans, Y. Kawahara, and J. V. Campenhout, “Accurate ranging of multiple objects using ultrasonic sensors,” in Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, May 1992, pp. 1733–1738.
8.
S. Golomb and R. Scholtz, “Generalized barker sequences,” IEEE Trans. Inf. Theory 11, 533–537, October 1965.
9.
D.
Menne
and
H.
Hackbarth
, “
Accuracy of distance measurement in the bat eptesicus fuscus: Theoretical aspects and computer simulations
,”
J. Acoust. Soc. Am.
79
,
386
397
(
1986
).
10.
H. Peremans, “A maximum likelihood algorithm for solving the correspondence problem in tri-aural perception,” in Proc. of the IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (Las Vegas), October 1994, pp. 485–492.
11.
M.
Rafiq
and
C.
Wykes
, “
The performance of capacitive ultrasonic transducers using v-grooved backplates
,”
Meas. Sci. Technol.
2
,
168
174
(
1991
).
12.
P. Morse and K. Ingard, Theoretical Acoustics (McGraw-Hill, New York, 1968).
13.
S.
Rice
, “
Envelopes of narrow-band signals
,”
Proc. IEEE
70
,
692
699
(
1982
).
14.
D.
Hartley
and
R.
Suthers
, “
The sound emission pattern and the acoustical role of the noseleaf in the echolocating bat, carollia perspicillata
,”
J. Acoust. Soc. Am.
82
,
1892
1900
(
1987
).
15.
Z.
Fuzessery
,
D.
Hartley
, and
J.
Wenstrup
, “
Spatial processing within the mustached bat echolocation system: Possible mechanisms for optimization
,”
J. Comp. Physiol. A
170
,
57
71
(
1992
).
16.
R.
Kuc
, “
Sensorimotor model of bat echolocation and prey capture
,”
J. Acoust. Soc. Am.
96
,
1965
1978
(
1994
).
17.
P. Denbigh and P. Tollman, “Beamforming by the cross-correlation analysis of received spectra,” in Adaptive Methods in Underwater Acoustics, edited by H. Urban, 1985, pp. 439–446.
This content is only available via PDF.
You do not currently have access to this content.