PERFORMANCE EVALUATION OF MULTICHANNEL ADAPTIVE ALGORITHMS FOR LOCAL ACTIVE NOISE CONTROL
β Scribed by M. DE DIEGO; A. GONZALEZ
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 525 KB
- Volume
- 244
- Category
- Article
- ISSN
- 0022-460X
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β¦ Synopsis
This paper deals with the development of a multichannel active noise control (ANC) system inside an enclosed space. The purpose is to design a real practical system which works well in local ANC applications. Moreover, the algorithm implemented in the adaptive controller should be robust, of low computational complexity and it should manage to generate a uniform useful-size zone of quite in order to allow the head motion of a person seated on a seat inside a car. Experiments were carried out under semi-anechoic and listening room conditions to verify the successful implementation of the multichannel system. The developed prototype consists of an array of up to four microphones used as error sensors mounted on the headrest of a seat place inside the enclosure. One loudspeaker was used as single primary source and two secondary sources were placed facing the seat. The aim of this multichannel system is to reduce the sound pressure levels in an area around the error sensors, following a local control strategy. When using this technique, the cancellation points are not only the error sensor positions but an area around them, which is measured by using a monitoring microphone. Di!erent multichannel adaptive algorithms for ANC have been analyzed and their performance veri"ed. Multiple error algorithms are used in order to cancel out di!erent types of primary noise (engine noise and random noise) with several con"gurations (up to four channels system). As an alternative to the multiple error ΒΈMS algorithm (multichannel version of the ,ltered-X ΒΈMS algorithm, MELMS), the least maximum mean squares (LMMS) and the scanning error-ΒΈMS algorithm have been developed in this work in order to reduce computational complexity and achieve a more uniform residual "eld. The ANC algorithms were programmed on a digital signal processing board equipped with a TMS320C40 #oating point DSP processor. Measurements concerning real-time experiments on local noise reduction in two environments and at frequencies below 230 Hz are presented. Better noise levels attenuation is obtained in the semianechoic chamber due to the simplicity of the acoustic "eld. The size of the zone of quiet makes the system useful at relatively low frequencies and it is large enough to cover a listener's head movements. The spatial extent of the zones of quiet is generally observed to increase as the error sensors are moved away from the secondary source, they are put closer together or its number increases. In summary, di!erent algorithms' performance and the viability of the multichannel system for local active noise control in real listening conditions are evaluated and some guidelines for designing such systems are then proposed.
π SIMILAR VOLUMES
## Abstract In the field of adaptive filtering, the fast implementations of affine projection algorithms are known to provide a good tradeoff between convergence speed and computational complexity. Such algorithms have recently been published for multichannel active noise control systems. Previous