Helmet type microphone array sound source positioning method based on low-frequency diffraction delay inequalities

Abstract

The invention discloses a helmet type microphone array sound source positioning method based on low-frequency diffraction delay inequalities. The problems that a helmet type microphone array is poor in positioning accuracy and large in computation burden are mainly solved. The method includes the steps of firstly, determining backward microphones through high-frequency signal strength differences; secondly, estimating the diffraction path delay inequalities generated when low-frequency signals reach the different backward microphones; thirdly, giving a sound source azimuth angle linear closed type solution for the relation between the low-frequency diffraction delay inequalities and sound source azimuth angles according to the microphones, and estimating the sound source azimuth angles. By means of the method, the positioning accuracy of the helmet type microphone array is improved; the computation burden is reduced when the number of the microphones is large; the method can be used for a single-soldier portable counter-ambush sound source positioning system.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a helmet microphone array sound source localization method based on low-frequency diffraction time-delay compensation of a shielding microphone array. Background technique [0002] On the modern battlefield, "hot weapons, cold combat" is a characteristic of local wars, and sniping and counter-sniping are the inevitable manifestations of this characteristic. Only by accurately, timely and quickly discovering and eliminating snipers can the security of the attacking party be guaranteed. Therefore, the widespread application of sniper tactics puts forward an urgent requirement for the development of anti-sniper detection devices. From the perspective of principle and technology, the anti-sniper detection system can be divided into three types: voice control detection, infrared detection and laser detection. Acoustic detection technology has become the first choice for anti-s...

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Problems solved by technology

[0006] However, the search algorithms used in the above two types of prior art, on the one hand, search the nonlinear optimization surface, and on the other hand, search the entire position space. When the number of microphones increases, the calculation amo...

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