In sound field reconstruction, spurious sources called ghost images always appear around the position of the real sound source in the sound pressure distribution map because of the grating and side lobes, thus resulting in an incorrect identification of the sound source. To solve this problem, a method for suppressing ghost images is proposed in this paper; such method is based on particle swarm optimization (PSO) and minimum variance distortionless response (MVDR) beamforming. In this method, the elements distribution of a microphone array is first optimized by the PSO algorithm to acquire the optimal design of an unequal spacing microphone array. With this array, the grating lobe is suppressed, and the increscent value of the inherent side lobe value is reduced. Second, MVDR algorithm is used to weaken the effect of the side lobes and to obtain a sound pressure distribution map in which the ghost images are suppressed. The advantage of this method is the combination of the unequal spacing array, which suppresses the grating lobe, and the MVDR algorithm, which has excellent performance in spatial filtering. Through this method, a microphone array with a few number of elements can achieve ghost image suppression. Experiments on sound field reconstruction in an anechoic chamber for a single-tone sound source are conducted to validate the proposed method. Moreover, some extra sound field reconstructions for a single-tone sound source and double sound sources with broadband in a normal room with different parameters such as the array shape and distance from the sources to the array are conducted to discuss their influences on the effectiveness of the proposed method.
Skip Nav Destination
Article navigation
June 2015
Research-Article
Ghost Image Suppression Based on Particle Swarm Optimization-MVDR in Sound Field Reconstruction Available to Purchase
Min Li,
Min Li
1
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
1Corresponding author.
Search for other works by this author on:
Long Wei,
Long Wei
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
Search for other works by this author on:
Qiang Fu,
Qiang Fu
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
Search for other works by this author on:
Debin Yang
Debin Yang
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
Search for other works by this author on:
Min Li
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
Long Wei
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
Qiang Fu
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
Debin Yang
Research Center for Aerospace
Vehicles Technology;
School of Mechanical Engineering,
e-mail: [email protected]
Vehicles Technology;
School of Mechanical Engineering,
University of Science and Technology Beijing
,Beijing 100083
, China
e-mail: [email protected]
1Corresponding author.
Contributed by the Noise Control and Acoustics Division of ASME for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received November 16, 2013; final manuscript received November 13, 2014; published online January 27, 2015. Assoc. Editor: Lonny Thompson.
J. Vib. Acoust. Jun 2015, 137(3): 031007 (13 pages)
Published Online: June 1, 2015
Article history
Received:
November 16, 2013
Revision Received:
November 13, 2014
Online:
January 27, 2015
Citation
Li, M., Wei, L., Fu, Q., and Yang, D. (June 1, 2015). "Ghost Image Suppression Based on Particle Swarm Optimization-MVDR in Sound Field Reconstruction." ASME. J. Vib. Acoust. June 2015; 137(3): 031007. https://doi.org/10.1115/1.4029166
Download citation file:
Get Email Alerts
Cited By
Smart Electromagnetic Inerter-Based Vibration Absorber With Active Control for Enhanced Stability
J. Vib. Acoust (October 2025)
Related Articles
Reconstruction of the Force Applied to a Plate in the Time Domain From Sound Pressure Measurements
J. Vib. Acoust (June,2020)
Instantaneous Directivity in Jet Noise by Multipole Decomposition
J. Vib. Acoust (April,1995)
An Approach for Identifying Dynamic Parameters in Robotic Systems With Inconsistent Joint Measurements
J. Dyn. Sys., Meas., Control (January,2025)
Thermo-Economic Optimization of Solar CCHP Using Both Genetic and Particle Swarm Algorithms
J. Sol. Energy Eng (February,2015)
Related Proceedings Papers
Related Chapters
A Novel Particle Swarm Optimizer with Kriging Models
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
A New Hybrid Algorithm for Optimization Using Particle Swarm Optimization and Great Deluge Algorithm
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Research on Autobody Panels Developmental Technology Based on Reverse Engineering
International Conference on Measurement and Control Engineering 2nd (ICMCE 2011)