Title :
First results in eliminating crosstalk and noise by applying pseudo-random sequences to mobile robot sonar sensing
Author :
Jörg, Klaus Werner ; Berg, Markus
Author_Institution :
Dept. of Comput. Sci., Kaiserslautern Univ., Germany
Abstract :
Crosstalk is one of the most severe problems in conventional mobile robot sonar sensing. This paper addresses the crosstalk-problem and presents first and promising results of a new approach which enables a mobile robot to fire its sonar sensors simultaneously while totally eliminating any misreading caused by crosstalk or external ultrasound sources. This is achieved by carefully designing the emitted burst, i.e. by using appropriate pseudo-random sequences together with a matched filter technique. Experimental results are presented
Keywords :
acoustic filters; crosstalk; mobile robots; path planning; random noise; sonar signal processing; crosstalk; filter; mobile robot; noise; pseudo-random sequences; random noise; sonar sensing; stochastic sequences; Acoustic reflection; Acoustic sensors; Crosstalk; Mobile robots; Radar; Signal processing algorithms; Sonar applications; Sonar measurements; Sonar navigation; Working environment noise;
Conference_Titel :
Advanced Mobile Robot, 1996., Proceedings of the First Euromicro Workshop on
Conference_Location :
Kaiserslautern
Print_ISBN :
0-8186-7695-7
DOI :
10.1109/EURBOT.1996.551879