proposed a method to overcome the effect of spatial aliasing via signal processing. The method not only improves the localization precision, but also reduces the blind space. Using the time difference localization method, the paper deduced localization and fallibility formulas. , using an acoustic array in a robotic system, proposed a tetrahedral array to locate a sound source target. proposed a moving sound source tracking method based on microphone array measurements that uses the speech linear prediction residual to estimate the time delay, therefore weakening the noise and reverberation effect and significantly improving localization precision.
With the rapid development of modern technology, numerous breakthroughs in sound source detection have been made. In addition, research on sound detection technology for the design of microphone arrays and sound source localization algorithms has been conducted. In recent years, with the rapid development of physics, mathematics, and signal processing, sound source localization technology for microphone arrays has received widespread attention from researchers both domestically and abroad. A microphone array system is composed of multiple microphones placed in accordance with a given topological structure that performs real-time processing on spatial sound source signals received from different directions. They can also be used to passively receive sound source signals, making it practical for researchers to collect signals. Microphone arrays perform functions such as noise elimination and target tracking. Moreover, a target sound source can be located by receiving the sound source signal and applying an algorithm. As a kind of wave, sound with a frequency between 20 Hz and 20 kHz can be recognized by the human ear. Humans can collect important information about the environment through a signal, especially a sound source signal, which is a sound wave generated by the vibration of an object, as well as the movement of a sound wave through any material. Although there is a small error, the overall performance of the sound source localization is stable, reflecting the advantages of the fusion algorithm.Ī signal represents the physical quantity of a message. The results show that the measurement precision of the distance from the sound source to the array center and the horizontal angle are improved one to threefold, and the measurement precision of the elevation angle is improved one to twofold. The relationship between the time-delay estimation error, elevation angle, horizontal angle, and microphone array localization performance was discussed, and the precision and stability of ranging and direction finding were analyzed. The sinusoids and cosines of two elevation angles based on two single-plane arrays were introduced into the sound source spherical coordinates as composite weighted coefficients, and a sound source localization fusion algorithm based on a three-plane five-element microphone array was proposed. Based on sound source geometric localization, a formula for the sound source azimuth calculation of a single-plane five-element microphone array was derived. Corresponding judgment criteria were proposed, solving the problem in which a single-plane array easily blurs the measured position. To reduce the negative effect on sound source localization when the source is at an extreme angle and improve localization precision and stability, a theoretical model of a three-plane five-element microphone array is established, using time-delay values to judge the sound source’s quadrant position.
0 kommentar(er)
