Silent indoor multi-target positioning method based on microphone nonlinear characteristics

Abstract

The invention discloses a silent indoor multi-target positioning method based on microphone nonlinear characteristics. A unique baseband signal frequency is allocated to each set of to-be-positioned target equipment as a baseband signal identity label, silent positioning sound wave signals are used for positioning multiple sets of target equipment, by virtue of the nonlinear effect of a microphone, each set of receiving equipment extracts the baseband signal frequency of each set of target equipment based on the target sound wave signal, the time when the positioning sound wave signal sent by each set of to-be-positioned target equipment arrives at the receiving equipment is obtained, and then coordinate calculation of the to-be-positioned target equipment is realized by using a three-point positioning method of time difference of arrival, and when the three-point positioning method is applied, three sets of receiving equipment with the maximum received signal strength are selected as positioning reference points. The method has the advantages that multiple sets of to-be-positioned target equipment are allowed to send positioning sound wave signals at any time, and in a multi-target positioning scene, channel competition and channel allocation are not needed, and under the condition that human ears cannot hear, multi-equipment positioning can be realized efficiently and at low energy.

Description

technical field [0001] The invention relates to an indoor multi-target positioning method, in particular to a multi-target positioning method in an anechoic room based on the nonlinear characteristics of microphones. Background technique [0002] The wide popularization of Internet of Things technology has made smart home, smart transportation, smart buildings, automated industrial control and other technologies widely used. Taking the intelligent storage system as an example, a large number of sensor technologies and a large number of intelligent terminals are applied, such as the use of intelligent robots to store and store goods. The realization of these functions relies on the accurate estimation of the location of the smart terminal equipment and the accurate indication of the target storage location. In addition, massive terminals are an important trend in the development of IoT systems, such as smart storage and smart home systems, which include a large number of ter...

AI Technical Summary

Problems solved by technology

However, in the face of multi-target positioning scenarios, the above positioning methods face the problem of channel competition, that is, only a single device can be accommodated at the same time for positioning, and the positioning tasks are completed in an orderly manner according to the channel competition results

Therefore, in the multi-target positioning scenario, the traditional positioning method has the problems of low positioning efficiency and high energy consumption. With the increase of target devices, the positioning efficiency and energy consumption will decrease and increase correspondingly, which seriously limits positioning. Efficient operation of the overall system

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