Lesya Nikolaevna Anishchenko - Ph.D. (Eng.), Senior Research Scientist, Research Section of Scientific and Educational complex «Basic Sciences», Bauman Moscow State Technical University. E-mail: anishchenko@rslab.ru
Sergey Ivanovich Ivashov - Ph.D. (Eng.), Laureate of the Russian Government Prize in Science and Technology, Head of Remote Sensing Laboratory, Research Section of Scientific and Educational complex «Basic Sciences», Bauman Moscow State Technical University. E-mail: sivashov@rslab.ru
Igor Aleksandrovich Vasiliev - Ph.D. (Eng.), Leading Research Scientist, Research Institute of Applied Mechanics and Mathematics, Bauman Moscow State Technical University. E-mail: ivasiliev@rslab.ru

At present laboratory rats remain the most commonly used type of experimental animals in pharmacology and zoo-psychology, which caused by simplicity of their upkeep, the possibility of maintaining of big number of animals on relatively small area, high rate of reproduction, etc. Special behavioral tests besides of simple control of animal physiological state are used while testing new drugs. They allow revealing changes in animal mind, increasing of anxiety or other problems in nervous system functioning. Existing non-contact methods for estimation of animal-s locomotor activity have following disadvantages. They are not suitable in case of opaque covers or require usage of cages specially constructed for specific type of animals. Method of bioradiolocation is free of these drawbacks. However experiments conducted in Remote Sensing Laboratory (Bauman Moscow State Technical University) in 2009-2010 showed that the power of the received signal depends greatly on the distance between antennas block and the object of location, which decrease accuracy of movement intensity estimation. In classic radiolocation for elimination of this factor corner reflectors (CR) are used. For studying the effectiveness of a CR usage in case of monitoring of rats movement activity by means of bioradar mathematical simulation of this process was carried out, in which finite difference time domain method was applied. Results of mathematical simulation have proved that CR application leads to decrease of received signal power dependence from the range to the located object. In case when the animal are placed in box of 0.7x0.7 m size received signal amplitude vary less than 10-12 %, whereas if CR is absent this value would be more than 75 %. Comparison of experimental and theoretical results showed that proposed mathematical model is adequate for observed phenomena simulation and CR usage may be proposed as an effective measure for eliminating of received signal power dependence from the range to the located object.