On the effect of a-priori information on performance of the MDL estimator

Eran Fishler; Hagit Messer

doi:10.1109/icassp.2002.5745275

On the effect of a-priori information on performance of the MDL estimator

Eran Fishler^*, Hagit Messer

^*Corresponding author for this work

School of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Detecting the number of sources is a well known and a well investigated problem. In this problem, the number of sources impinging on an array of sensors is to be estimated. The widely used processor is based on the Minimum Description Length (MDL) criterion where the array is assumed unstructured and the radiating sources are assumed Gaussian. This paper presents an asymptotic analysis of the performance of a different estimator, when some a-priori information is utilized. In particular, the performance of the MDL estimator which assumes Gaussian sources and a structured array when applied to Gaussian sources is analyzed. It is shown that appropriate use of the prior knowledge about the array geometry can lead to significant improvement in the detection performance. Simulation results show good fit between the empirical and the theoretical results.

Original language	English
Pages (from-to)	2981-2984
Number of pages	4
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	3
DOIs	https://doi.org/10.1109/icassp.2002.5745275
State	Published - 2002
Event	2002 IEEE International Conference on Acoustic, Speech, and Signal Processing - Orlando, FL, United States Duration: 13 May 2002 → 17 May 2002

Access to Document

10.1109/icassp.2002.5745275

Cite this

@article{f2330e368f144e0491097c7176feed97,

title = "On the effect of a-priori information on performance of the MDL estimator",

abstract = "Detecting the number of sources is a well known and a well investigated problem. In this problem, the number of sources impinging on an array of sensors is to be estimated. The widely used processor is based on the Minimum Description Length (MDL) criterion where the array is assumed unstructured and the radiating sources are assumed Gaussian. This paper presents an asymptotic analysis of the performance of a different estimator, when some a-priori information is utilized. In particular, the performance of the MDL estimator which assumes Gaussian sources and a structured array when applied to Gaussian sources is analyzed. It is shown that appropriate use of the prior knowledge about the array geometry can lead to significant improvement in the detection performance. Simulation results show good fit between the empirical and the theoretical results.",

author = "Eran Fishler and Hagit Messer",

year = "2002",

doi = "10.1109/icassp.2002.5745275",

language = "אנגלית",

volume = "3",

pages = "2981--2984",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "null ; Conference date: 13-05-2002 Through 17-05-2002",

}

TY - JOUR

T1 - On the effect of a-priori information on performance of the MDL estimator

AU - Fishler, Eran

AU - Messer, Hagit

PY - 2002

Y1 - 2002

N2 - Detecting the number of sources is a well known and a well investigated problem. In this problem, the number of sources impinging on an array of sensors is to be estimated. The widely used processor is based on the Minimum Description Length (MDL) criterion where the array is assumed unstructured and the radiating sources are assumed Gaussian. This paper presents an asymptotic analysis of the performance of a different estimator, when some a-priori information is utilized. In particular, the performance of the MDL estimator which assumes Gaussian sources and a structured array when applied to Gaussian sources is analyzed. It is shown that appropriate use of the prior knowledge about the array geometry can lead to significant improvement in the detection performance. Simulation results show good fit between the empirical and the theoretical results.

AB - Detecting the number of sources is a well known and a well investigated problem. In this problem, the number of sources impinging on an array of sensors is to be estimated. The widely used processor is based on the Minimum Description Length (MDL) criterion where the array is assumed unstructured and the radiating sources are assumed Gaussian. This paper presents an asymptotic analysis of the performance of a different estimator, when some a-priori information is utilized. In particular, the performance of the MDL estimator which assumes Gaussian sources and a structured array when applied to Gaussian sources is analyzed. It is shown that appropriate use of the prior knowledge about the array geometry can lead to significant improvement in the detection performance. Simulation results show good fit between the empirical and the theoretical results.

UR - http://www.scopus.com/inward/record.url?scp=0036293665&partnerID=8YFLogxK

U2 - 10.1109/icassp.2002.5745275

DO - 10.1109/icassp.2002.5745275

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.conferencearticle???

AN - SCOPUS:0036293665

SN - 0736-7791

VL - 3

SP - 2981

EP - 2984

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

On the effect of a-priori information on performance of the MDL estimator

Abstract

Access to Document

Other files and links

Fingerprint

Cite this