TY - GEN

T1 - Direction of arrival estimates using matching pursuit

AU - Oikawa, Yasuhiro

AU - Yamasaki, Yoshio

PY - 2005/12/1

Y1 - 2005/12/1

N2 - Many topics on microphone array processing, e.g. signal enhancement, noise reduction and direction of arrival (DOA) estimation, has recently been researched. Many methods has been suggested for DOA estimation and the number of estimated DOAs is generally limited by the number of microphones and we has spatial aliasing problem based on relation between the microphones distance and wave length. We has proposed new DOA estimation method using matching pursuit algorithm, which can estimate more DOAs than the microphones number. The DOA estimation we did consists of the following steps. First, we calculate the normalized power of the array output, P(θ), for each frequency bin using the Delay-and-Sum method. We then average P(θ) over all frequency bins. Finally, we perform peak-picking using a matching pursuit algorithm to estimate the DOA over all frequency bands. The matching pursuit algorithm includes, after each iteration step, a reoptimization of all DOAs found thus far. Its main characteristics is that it is possible to find true DOAs when the number of sources exceeds that of microphones. In this paper we report DOA estimation in real-world using this method. We could estimate more DOAs than the number of microphones. Our experiments yielded a better DOAs estimation with the new method than with the conventional method.

AB - Many topics on microphone array processing, e.g. signal enhancement, noise reduction and direction of arrival (DOA) estimation, has recently been researched. Many methods has been suggested for DOA estimation and the number of estimated DOAs is generally limited by the number of microphones and we has spatial aliasing problem based on relation between the microphones distance and wave length. We has proposed new DOA estimation method using matching pursuit algorithm, which can estimate more DOAs than the microphones number. The DOA estimation we did consists of the following steps. First, we calculate the normalized power of the array output, P(θ), for each frequency bin using the Delay-and-Sum method. We then average P(θ) over all frequency bins. Finally, we perform peak-picking using a matching pursuit algorithm to estimate the DOA over all frequency bands. The matching pursuit algorithm includes, after each iteration step, a reoptimization of all DOAs found thus far. Its main characteristics is that it is possible to find true DOAs when the number of sources exceeds that of microphones. In this paper we report DOA estimation in real-world using this method. We could estimate more DOAs than the number of microphones. Our experiments yielded a better DOAs estimation with the new method than with the conventional method.

UR - http://www.scopus.com/inward/record.url?scp=84864599197&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84864599197&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84864599197

SN - 9638241683

SN - 9789638241689

T3 - Forum Acusticum Budapest 2005: 4th European Congress on Acustics

SP - 2619

EP - 2624

BT - Forum Acusticum Budapest 2005

T2 - 4th European Congress on Acustics, Forum Acusticum 2005

Y2 - 29 August 2005 through 2 September 2005

ER -