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Sound source localization method and system based on memristor

A sound source localization and memristor technology, applied in positioning, radio wave measurement systems, instruments, etc., can solve problems such as difficult miniaturization, miniaturization, complex sound localization methods, and sensitivity to environmental noise, and achieve simplified sound sources Positioning algorithm, reducing calculation burden, small area effect

Pending Publication Date: 2022-05-27
PEKING UNIV
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Problems solved by technology

When the array is large, this spectral estimation method has a large amount of computation and is sensitive to environmental noise, which can easily lead to inaccurate positioning.
Therefore, the traditional sound localization method is relatively complicated, it is difficult to achieve miniaturization and miniaturization, and often requires a microphone array, which is difficult to integrate on mobile devices. Therefore, it is necessary to develop a new sound source localization system

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  • Sound source localization method and system based on memristor
  • Sound source localization method and system based on memristor
  • Sound source localization method and system based on memristor

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Embodiment Construction

[0034] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0035] The present invention includes two pickups (sound pickup 1, pickup 2), two waveform conversion circuits (waveform transform circuit 1, waveform transform circuit 2), three memristors (M1, M2, M3) and information processing circuits, such as figure 1 shown. The pickup is mainly responsible for collecting ambient sound and converting it into an electrical signal to drive the waveform conversion circuit. The waveform conversion circuit 1 is responsible for generating the drive signal of the encoding time, which acts on the top electrode of the memristor M1 ( figure 1 marked with "+") and the bottom electrode. The waveform conversion circuit 2 is responsible for generating the drive signal of the encoding strength, which acts on the top electrodes of the memristors M2 and M3 respectively ( figure 1 marked with a "+"). The memristor M1 is r...

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Abstract

The invention discloses a sound source positioning method and system based on memristors, and the method employs two sound pickups, a waveform conversion circuit, three memristors and an information processing circuit, and can position a sound source through the signal integration effect of the memristors. The method reduces the calculation burden of a processor, and has a very strong application prospect in the field of robot sensing; besides, a resistance change device based on nano ion migration can be adopted, the system has the advantages of being small in area, low in power consumption and the like, miniaturization of the whole system can be achieved, and the system has great significance in robot sensing research.

Description

technical field [0001] The invention belongs to the technical field of semiconductor (semiconductor), artificial intelligence (artificial intelligence) and complementary metal-oxide-semiconductor (CMOS) hybrid integrated circuits, and particularly relates to a sound source localization method based on a memristor. Background technique [0002] Hearing, an important ability for humans and anthropomorphic robots to perceive external information, can help people identify and find sound-producing objects in the surrounding environment and determine the location of sound sources. At present, the research on robotic sound source localization is still in its infancy. From the perspective of bionics, studying theories of the human auditory system, such as binaural effect and pinna effect, can provide theoretical methods for robots to achieve sound source localization. Robot auditory localization can make up for the shortcomings of visual systems that are difficult to localize in da...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/22
CPCG01S5/22
Inventor 王宗巍鲍霖蔡一茂鲍盛誉秦雅博黄如
Owner PEKING UNIV